Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDKalyanmoy Deb
Person information
- affiliation: Michigan State University, East Lansing, MI, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2023
[j171]Deepanshu Yadav, Deepak Nagar, Palaniappan Ramu, Kalyanmoy Deb:
Visualization-aided multi-criteria decision-making using interpretable self-organizing maps. Eur. J. Oper. Res. 309(3): 1183-1200 (2023)- [j170]Deepak Nagar
, Palaniappan Ramu, Kalyanmoy Deb:
Visualization and analysis of Pareto-optimal fronts using interpretable self-organizing map (iSOM). Swarm Evol. Comput. 76: 101202 (2023) - [c328]Ritam Guha, Kalyanmoy Deb:
RegEMO: Sacrificing Pareto-Optimality for Regularity in Multi-objective Problem-Solving. EMO 2023: 29-42 - [c327]Balija Santoshkumar, Kalyanmoy Deb, Lei Chen:
Eliminating Non-dominated Sorting from NSGA-III. EMO 2023: 71-85 - [c326]Drishti Bhasin, Sajag Swami, Sarthak Sharma, Saumya Sah, Dhish Kumar Saxena, Kalyanmoy Deb:
Investigating Innovized Progress Operators with Different Machine Learning Methods. EMO 2023: 134-146 - [c325]Kalyanmoy Deb, Aryan Gondkar, Anirudh Suresh:
Learning to Predict Pareto-Optimal Solutions from Pseudo-weights. EMO 2023: 191-204 - [c324]Abhiroop Ghosh, Kalyanmoy Deb, Ronald C. Averill, Erik D. Goodman:
IK-EMOViz: An Interactive Knowledge-Based Evolutionary Multi-objective Optimization Framework. EMO 2023: 606-619 - 2022
- [j169]Kyle Robert Harrison, Azam Asilian Bidgoli, Shahryar Rahnamayan, Kalyanmoy Deb:
Image-based benchmarking and visualization for large-scale global optimization. Appl. Intell. 52(4): 4161-4191 (2022) - [j168]Alaleh Maskooki, Kalyanmoy Deb, Markku Kallio:
A customized genetic algorithm for bi-objective routing in a dynamic network. Eur. J. Oper. Res. 297(2): 615-629 (2022) - [j167]Md. Jakirul Islam, Xiaodong Li, Kalyanmoy Deb:
A speciation-based bilevel niching method for multimodal truss design problems. J. Comb. Optim. 44(1): 172-206 (2022) - [j166]Julian Blank, Kalyanmoy Deb:
Handling constrained multi-objective optimization problems with heterogeneous evaluation times: proof-of-principle results. Memetic Comput. 14(2): 135-150 (2022) - [j165]Poonam Kesarwani, Pradyumn Kumar Shukla, Joydeep Dutta, Kalyanmoy Deb:
Approximations for Pareto and Proper Pareto solutions and their KKT conditions. Math. Methods Oper. Res. 96(1): 123-148 (2022) - [j164]Ian Kropp, Amir Pouyan Nejadhashemi, Kalyanmoy Deb:
Benefits of sparse population sampling in multi-objective evolutionary computing for large-Scale sparse optimization problems. Swarm Evol. Comput. 69: 101025 (2022) - [j163]Claudio Lucio do Val Lopes, Flávio Vinícius Cruzeiro Martins, Elizabeth Fialho Wanner, Kalyanmoy Deb:
Analyzing Dominance Move (MIP-DoM) Indicator for Multiobjective and Many-Objective Optimization. IEEE Trans. Evol. Comput. 26(3): 476-489 (2022) - [j162]Sukrit Mittal, Dhish Kumar Saxena, Kalyanmoy Deb, Erik D. Goodman:
Enhanced Innovized Progress Operator for Evolutionary Multi- and Many-Objective Optimization. IEEE Trans. Evol. Comput. 26(5): 961-975 (2022) - [j161]Sukrit Mittal, Dhish Kumar Saxena, Kalyanmoy Deb, Erik D. Goodman:
A Learning-based Innovized Progress Operator for Faster Convergence in Evolutionary Multi-objective Optimization. ACM Trans. Evol. Learn. Optim. 2(1): 1:1-1:29 (2022) - [c323]Julian Blank, Kalyanmoy Deb:
Parameter Tuning and Control: A Case Study on Differential Evolution With Polynomial Mutation. CEC 2022: 1-8 - [c322]Gregorio Toscano, Juan Sebastian Hernandez-Suarez, Julian Blank, Amir Pouyan Nejadhashemi, Kalyanmoy Deb, Lewis C. Linker:
Large-scale Multi-objective Optimization for Water Quality in Chesapeake Bay Watershed. CEC 2022: 1-9 - [c321]Claudio Lucio do Val Lopes, Flávio Vinícius Cruzeiro Martins, Elizabeth F. Wanner, Kalyanmoy Deb:
A computationally fast but approximate MIP-DoM calculation for multi-objective optimization. GECCO Companion 2022: 340-343 - [c320]Deepanshu Yadav, Palaniappan Ramu, Kalyanmoy Deb:
Visualization-aided Multi-criterion Decision-making Using Reference Direction Based Pareto Race. SSCI 2022: 125-132 - [i43]Julian Blank, Kalyanmoy Deb:
GPSAF: A Generalized Probabilistic Surrogate-Assisted Framework for Constrained Single- and Multi-objective Optimization. CoRR abs/2204.04054 (2022) - [i42]Julian Blank, Kalyanmoy Deb:
pysamoo: Surrogate-Assisted Multi-Objective Optimization in Python. CoRR abs/2204.05855 (2022) - [i41]Amir H. Gandomi, Kalyanmoy Deb, Ronald C. Averill, Shahryar Rahnamayan, Mohammad Nabi Omidvar:
Variable Functioning and Its Application to Large Scale Steel Frame Design Optimization. CoRR abs/2205.07274 (2022) - [i40]Bhuvan Khoshoo, Julian Blank, Thang Q. Pham, Kalyanmoy Deb, Shanelle N. Foster:
Optimal Design of Electric Machine with Efficient Handling of Constraints and Surrogate Assistance. CoRR abs/2206.01695 (2022) - [i39]Zhichao Lu, Ran Cheng, Yaochu Jin, Kay Chen Tan, Kalyanmoy Deb:
Neural Architecture Search as Multiobjective Optimization Benchmarks: Problem Formulation and Performance Assessment. CoRR abs/2208.04321 (2022) - [i38]Abhiroop Ghosh, Kalyanmoy Deb, Erik D. Goodman, Ronald C. Averill:
An Interactive Knowledge-based Multi-objective Evolutionary Algorithm Framework for Practical Optimization Problems. CoRR abs/2209.08604 (2022) - [i37]Devesh Shah, Anirudh Suresh, Alemayehu Admasu, Devesh Upadhyay, Kalyanmoy Deb:
A Survey on Evaluation Metrics for Synthetic Material Micro-Structure Images from Generative Models. CoRR abs/2211.09727 (2022) - [i36]Shihua Huang, Zhichao Lu, Kalyanmoy Deb, Vishnu Naresh Boddeti:
Revisiting Residual Networks for Adversarial Robustness: An Architectural Perspective. CoRR abs/2212.11005 (2022) - 2021
- [j160]Lei Chen, Kalyanmoy Deb, Hai-Lin Liu, Qingfu Zhang:
Effect of Objective Normalization and Penalty Parameter on Penalty Boundary Intersection Decomposition-Based Evolutionary Many-Objective Optimization Algorithms. Evol. Comput. 29(1): 157-186 (2021) - [j159]Juan Sebastian Hernandez-Suarez, Amir Pouyan Nejadhashemi, Kalyanmoy Deb:
A novel multi-objective model calibration method for ecohydrological applications. Environ. Model. Softw. 144: 105161 (2021) - [j158]Jake Weiner, Andreas T. Ernst, Xiaodong Li, Yuan Sun, Kalyanmoy Deb:
Solving the maximum edge disjoint path problem using a modified Lagrangian particle swarm optimisation hybrid. Eur. J. Oper. Res. 293(3): 847-862 (2021) - [j157]Renan Santos Mendes, Victoria Lush, Elizabeth F. Wanner, Flávio V. C. Martins, João F. M. Sarubbi, Kalyanmoy Deb:
Online clustering reduction based on parametric and non-parametric correlation for a many-objective vehicle routing problem with demand responsive transport. Expert Syst. Appl. 170: 114467 (2021) - [j156]Jonatas B. C. Chagas, Julian Blank, Markus Wagner, Marcone J. F. Souza, Kalyanmoy Deb:
A non-dominated sorting based customized random-key genetic algorithm for the bi-objective traveling thief problem. J. Heuristics 27(3): 267-301 (2021) - [j155]Mohamed Abouhawwash, Kalyanmoy Deb:
Reference point based evolutionary multi-objective optimization algorithms with convergence properties using KKTPM and ASF metrics. J. Heuristics 27(4): 575-614 (2021) - [j154]A. K. M. Khaled Ahsan Talukder, Kalyanmoy Deb:
An improved visual analytics framework for high-dimensional pareto-optimal front: a case for multi-objective portfolio optimization. J. Bank. Financial Technol. 5(2): 105-115 (2021) - [j153]Zhichao Lu, Gautam Sreekumar, Erik D. Goodman, Wolfgang Banzhaf, Kalyanmoy Deb, Vishnu Naresh Boddeti:
Neural Architecture Transfer. IEEE Trans. Pattern Anal. Mach. Intell. 43(9): 2971-2989 (2021) - [j152]Tanveerulhuq Shaik, Vadlamani Ravi, Kalyanmoy Deb:
Evolutionary Multi-Objective Optimization Algorithm for Community Detection in Complex Social Networks. SN Comput. Sci. 2(1): 1 (2021) - [j151]Lourdes Uribe, Adriana Lara, Kalyanmoy Deb, Oliver Schütze:
A new gradient free local search mechanism for constrained multi-objective optimization problems. Swarm Evol. Comput. 67: 100938 (2021) - [j150]Yashesh D. Dhebar, Kalyanmoy Deb:
Interpretable Rule Discovery Through Bilevel Optimization of Split-Rules of Nonlinear Decision Trees for Classification Problems. IEEE Trans. Cybern. 51(11): 5573-5584 (2021) - [j149]Julian Blank, Kalyanmoy Deb, Yashesh D. Dhebar, Sunith Bandaru, Haitham Seada:
Generating Well-Spaced Points on a Unit Simplex for Evolutionary Many-Objective Optimization. IEEE Trans. Evol. Comput. 25(1): 48-60 (2021) - [j148]Zhichao Lu, Ian Whalen, Yashesh D. Dhebar, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti:
Multiobjective Evolutionary Design of Deep Convolutional Neural Networks for Image Classification. IEEE Trans. Evol. Comput. 25(2): 277-291 (2021) - [j147]Leonardo Lai, Lorenzo Fiaschi, Marco Cococcioni, Kalyanmoy Deb:
Solving Mixed Pareto-Lexicographic Multiobjective Optimization Problems: The Case of Priority Levels. IEEE Trans. Evol. Comput. 25(5): 971-985 (2021) - [c319]Renan Santos Mendes, Elizabeth F. Wanner, Flávio V. C. Martins, Kalyanmoy Deb:
Aggregation or Selection? Clustering Many Objectives for Vehicle Routing Problem with Demand Responsive Transport. CEC 2021: 1257-1264 - [c318]Shreya Sharma, Julian Blank, Kalyanmoy Deb, Bijaya Ketan Panigrahi:
Ensembled Crossover based Evolutionary Algorithm for Single and Multi-objective Optimization. CEC 2021: 1439-1446 - [c317]Anirudh Suresh, Jaturong Kongmanee, Kalyanmoy Deb, Vishnu Naresh Boddeti:
Multi-objective Coevolution and Decision-making for Cooperative and Competitive Environments. CEC 2021: 1601-1608 - [c316]Kalyanmoy Deb, Sukrit Mittal, Dhish Kumar Saxena, Erik D. Goodman:
Embedding a Repair Operator in Evolutionary Single and Multi-objective Algorithms - An Exploitation-Exploration Perspective. EMO 2021: 89-101 - [c315]Abhiroop Ghosh, Kalyanmoy Deb, Ronald C. Averill, Erik D. Goodman:
Combining User Knowledge and Online Innovization for Faster Solution to Multi-objective Design Optimization Problems. EMO 2021: 102-114 - [c314]Anirudh Suresh, Kalyanmoy Deb, Vishnu Naresh Boddeti:
Towards Multi-objective Co-evolutionary Problem Solving. EMO 2021: 139-151 - [c313]Julian Blank, Kalyanmoy Deb:
Constrained Bi-objective Surrogate-Assisted Optimization of Problems with Heterogeneous Evaluation Times: Expensive Objectives and Inexpensive Constraints. EMO 2021: 257-269 - [c312]Shuwei Zhu, Lihong Xu, Erik D. Goodman, Kalyanmoy Deb, Zhichao Lu:
The (M-1)+1 Framework of Relaxed Pareto Dominance for Evolutionary Many-Objective Optimization. EMO 2021: 349-361 - [c311]Leonardo Lai, Lorenzo Fiaschi, Marco Cococcioni, Kalyanmoy Deb:
Handling Priority Levels in Mixed Pareto-Lexicographic Many-Objective Optimization Problems. EMO 2021: 362-374 - [c310]Deepak Nagar, Palaniappan Ramu, Kalyanmoy Deb:
Interpretable Self-Organizing Maps (iSOM) for Visualization of Pareto Front in Multiple Objective Optimization. EMO 2021: 645-655 - [c309]Claudio Lucio do Val Lopes, Flávio V. C. Martins, Elizabeth F. Wanner, Kalyanmoy Deb:
An approximate MIP-DoM calculation for multi-objective optimization using affinity propagation clustering algorithm. GECCO Companion 2021: 185-186 - [c308]Julian Blank, Kalyanmoy Deb:
PSAF: a probabilistic surrogate-assisted framework for single-objective optimization. GECCO 2021: 652-659 - [c307]Kalyanmoy Deb, Julian Blank:
Evolutionary multi- and many-objective optimization: methodologies, applications and demonstration. GECCO Companion 2021: 740-769 - [c306]Kalyanmoy Deb, A. K. M. Khaled Ahsan Talukder:
Visualization-based Multi-Criterion Decision Making with NIMBUS Method Using Palette Viz. SSCI 2021: 1-8 - [c305]Abhiroop Ghosh, Yashesh D. Dhebar, Ritam Guha, Kalyanmoy Deb, Subramanya Nageshrao, Ling Zhu, H. Eric Tseng, Dimitar P. Filev:
Interpretable AI Agent Through Nonlinear Decision Trees for Lane Change Problem. SSCI 2021: 1-8 - [c304]Bhuvan Khoshoo, Julian Blank, Thang Pham, Kalyanmoy Deb, Shanelle Foster:
Optimized Electric Machine Design Solutions with Efficient Handling of Constraints. SSCI 2021: 1-8 - [p19]Ali Ahrari, Kalyanmoy Deb:
Multimodal Optimization by Evolution Strategies with Repelling Subpopulations. Metaheuristics for Finding Multiple Solutions 2021: 145-163 - 2020
- [j146]Julian Blank, Kalyanmoy Deb:
Pymoo: Multi-Objective Optimization in Python. IEEE Access 8: 89497-89509 (2020) - [j145]Mohamed Abdel-Basset, Doaa El-Shahat, Kalyanmoy Deb, Mohamed Abouhawwash:
Energy-aware whale optimization algorithm for real-time task scheduling in multiprocessor systems. Appl. Soft Comput. 93: 106349 (2020) - [j144]A. K. M. Khaled Ahsan Talukder, Kalyanmoy Deb:
PaletteViz: A Visualization Method for Functional Understanding of High-Dimensional Pareto-Optimal Data-Sets to Aid Multi-Criteria Decision Making. IEEE Comput. Intell. Mag. 15(2): 36-48 (2020) - [j143]Mohamed Abouhawwash, Mohamed A. Jameel, Kalyanmoy Deb:
A smooth proximity measure for optimality in multi-objective optimization using Benson's method. Comput. Oper. Res. 117: 104900 (2020) - [j142]Zhun Fan, Wenji Li, Xinye Cai, Hui Li, Caimin Wei, Qingfu Zhang, Kalyanmoy Deb, Erik D. Goodman:
Difficulty Adjustable and Scalable Constrained Multiobjective Test Problem Toolkit. Evol. Comput. 28(3): 339-378 (2020) - [j141]Ankur Sinha, Zhichao Lu, Kalyanmoy Deb, Pekka Malo:
Bilevel optimization based on iterative approximation of multiple mappings. J. Heuristics 26(2): 151-185 (2020) - [j140]Behrooz Ghasemishabankareh, Melih Ozlen, Xiaodong Li, Kalyanmoy Deb:
A genetic algorithm with local search for solving single-source single-sink nonlinear non-convex minimum cost flow problems. Soft Comput. 24(2): 1153-1169 (2020) - [j139]Matt Ryerkerk, Ronald C. Averill, Kalyanmoy Deb, Erik D. Goodman:
A novel selection mechanism for evolutionary algorithms with metameric variable-length representations. Soft Comput. 24(21): 16439-16452 (2020) - [j138]Hemant Kumar Singh, Kalyanmoy Deb:
Investigating the equivalence between PBI and AASF scalarization for multi-objective optimization. Swarm Evol. Comput. 53: 100630 (2020) - [j137]Ke Li, Minhui Liao, Kalyanmoy Deb, Geyong Min, Xin Yao:
Does Preference Always Help? A Holistic Study on Preference-Based Evolutionary Multiobjective Optimization Using Reference Points. IEEE Trans. Evol. Comput. 24(6): 1078-1096 (2020) - [c303]Julian Blank, Kalyanmoy Deb:
A Running Performance Metric and Termination Criterion for Evaluating Evolutionary Multi- and Many-objective Optimization Algorithms. CEC 2020: 1-8 - [c302]Abhiroop Ghosh, Erik D. Goodman, Kalyanmoy Deb, Ronald C. Averill, Alejandro Diaz:
A Large-scale Bi-objective Optimization of Solid Rocket Motors Using Innovization. CEC 2020: 1-8 - [c301]Sukrit Mittal, Dhish Kumar Saxena, Kalyanmoy Deb:
A Unified Automated Innovization Framework Using Threshold-based Clustering. CEC 2020: 1-8 - [c300]Henrik Smedberg, Sunith Bandaru, Amos H. C. Ng, Kalyanmoy Deb:
Trend Mining 2.0: Automating the Discovery of Variable Trends in the Objective Space. CEC 2020: 1-8 - [c299]Zhichao Lu, Kalyanmoy Deb, Vishnu Naresh Boddeti:
MUXConv: Information Multiplexing in Convolutional Neural Networks. CVPR 2020: 12041-12050 - [c298]Zhichao Lu, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti:
NSGANetV2: Evolutionary Multi-objective Surrogate-Assisted Neural Architecture Search. ECCV (1) 2020: 35-51 - [c297]Kanish Garg, Anish Mukherjee, Sukrit Mittal, Dhish Kumar Saxena, Kalyanmoy Deb:
A generic and computationally efficient automated innovization method for power-law design rules. GECCO Companion 2020: 161-162 - [c296]Sukrit Mittal, Dhish Kumar Saxena, Kalyanmoy Deb:
Learning-based multi-objective optimization through ANN-assisted online Innovization. GECCO Companion 2020: 171-172 - [c295]A. K. M. Khaled Ahsan Talukder, Kalyanmoy Deb:
PaletteStarViz: a visualization method for multi-criteria decision making from high-dimensional pareto-optimal front. GECCO Companion 2020: 175-176 - [c294]Lourdes Uribe, Adriana Lara, Kalyanmoy Deb, Oliver Schütze:
Using gradient-free local search within MOEAs for the treatment of constrained MOPs. GECCO Companion 2020: 177-178 - [c293]Sorrachai Yingchareonthawornchai, Proteek Chandan Roy, Bundit Laekhanukit, Eric Torng, Kalyanmoy Deb:
Worst-case conditional hardness and fast algorithms with random inputs for non-dominated sorting. GECCO Companion 2020: 185-186 - [c292]Yash Vesikar, Julian Blank, Kalyanmoy Deb, Markku Kallio, Alaleh Maskooki:
Dynamic vessel-to-vessel routing using level-wise evolutionary optimization. GECCO Companion 2020: 295-296 - [c291]Kalyanmoy Deb:
Evolutionary multi-objective optimization: past, present and future. GECCO Companion 2020: 343-372 - [c290]Pablo Valledor Pellicer, Miguel Iglesias Escudero, Silvino Fernández Alzueta, Kalyanmoy Deb:
Gap finding and validation in evolutionary multi- and many-objective optimization. GECCO 2020: 578-586 - [c289]Philipp Back, Antti Suominen, Pekka Malo, Olli Tahvonen, Julian Blank, Kalyanmoy Deb:
Towards sustainable forest management strategies with MOEAs. GECCO 2020: 1046-1054 - [c288]Zhichao Lu, Ian Whalen, Yashesh D. Dhebar, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti:
NSGA-Net: Neural Architecture Search using Multi-Objective Genetic Algorithm (Extended Abstract). IJCAI 2020: 4750-4754 - [c287]Kalyanmoy Deb:
Rise of Evolutionary Multi-Objective Optimization: Algorithms and Applications. IJCCI 2020: 9 - [c286]A. K. M. Khaled Ahsan Talukder, Kalyanmoy Deb:
PaletteViz with Star-coordinates: An Improved Method for High-dimensional Pareto-optimal Front Visualization and Decision-making. SSCI 2020: 2186-2193 - [c285]Yashesh D. Dhebar, Sparsh Gupta, Kalyanmoy Deb:
Evaluating Nonlinear Decision Trees for Binary Classification Tasks with Other Existing Methods. SSCI 2020: 2806-2813 - [d1]Claudio Lucio do Val Lopes, Flávio Vinícius Cruzeiro Martins, Elizabeth F. Wanner, Kalyanmoy Deb:
Many and Multi-objective datasets used in MIP-DoM. IEEE DataPort, 2020
- [i35]Tao Chen, Miqing Li, Ke Li, Kalyanmoy Deb:
Search-Based Software Engineering for Self-Adaptive Systems: One Survey, Five Disappointments and Six Opportunities. CoRR abs/2001.08236 (2020) - [i34]Jonatas B. C. Chagas, Julian Blank, Markus Wagner, Marcone J. F. Souza, Kalyanmoy Deb:
A Non-Dominated Sorting Based Customized Random-Key Genetic Algorithm for the Bi-Objective Traveling Thief Problem. CoRR abs/2002.04303 (2020) - [i33]Julian Blank, Kalyanmoy Deb:
pymoo: Multi-objective Optimization in Python. CoRR abs/2002.04504 (2020) - [i32]Zhichao Lu, Kalyanmoy Deb, Vishnu Naresh Boddeti:
MUXConv: Information Multiplexing in Convolutional Neural Networks. CoRR abs/2003.13880 (2020) - [i31]Shaik Tanveer Ul Huq, Vadlamani Ravi, Kalyanmoy Deb:
Evolutionary Multi Objective Optimization Algorithm for Community Detection in Complex Social Networks. CoRR abs/2005.03181 (2020) - [i30]Zhichao Lu, Gautam Sreekumar, Erik D. Goodman, Wolfgang Banzhaf, Kalyanmoy Deb, Vishnu Naresh Boddeti:
Neural Architecture Transfer. CoRR abs/2005.05859 (2020) - [i29]Mohamed Wiem Mkaouer, Marouane Kessentini, Adnan Shaout, Patrice Koligheu, Slim Bechikh, Kalyanmoy Deb, Ali Ouni:
Many-Objective Software Remodularization using NSGA-III. CoRR abs/2005.06510 (2020) - [i28]Zhichao Lu, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti:
NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search. CoRR abs/2007.10396 (2020) - [i27]Kyle Robert Harrison, Azam Asilian Bidgoli, Shahryar Rahnamayan, Kalyanmoy Deb:
Image-Based Benchmarking and Visualization for Large-Scale Global Optimization. CoRR abs/2007.12332 (2020) - [i26]Yashesh D. Dhebar, Kalyanmoy Deb:
Interpretable Rule Discovery Through Bilevel Optimization of Split-Rules of Nonlinear Decision Trees for Classification Problems. CoRR abs/2008.00410 (2020) - [i25]Yashesh D. Dhebar, Sparsh Gupta, Kalyanmoy Deb:
Evaluating Nonlinear Decision Trees for Binary Classification Tasks with Other Existing Methods. CoRR abs/2008.10753 (2020) - [i24]Yashesh D. Dhebar, Kalyanmoy Deb, Subramanya Nageshrao, Ling Zhu, Dimitar P. Filev:
Interpretable-AI Policies using Evolutionary Nonlinear Decision Trees for Discrete Action Systems. CoRR abs/2009.09521 (2020) - [i23]Sukrit Mittal, Dhish Kumar Saxena, Kalyanmoy Deb, Erik D. Goodman:
Enhanced Innovized Repair Operator for Evolutionary Multi- and Many-objective Optimization. CoRR abs/2011.10760 (2020) - [i22]Claudio Lucio do Val Lopes, Flávio Vinícius Cruzeiro Martins, Elizabeth Fialho Wanner, Kalyanmoy Deb:
Analyzing Dominance Move (MIP-DoM) Indicator for Multi- and Many-objective Optimization. CoRR abs/2012.11557 (2020)
2010 – 2019
- 2019
- [j136]Lei Chen, Kalyanmoy Deb, Hai-Lin Liu:
Explicit Control of Implicit Parallelism in Decomposition-Based Evolutionary Many-Objective Optimization Algorithms [Research Frontier]. IEEE Comput. Intell. Mag. 14(4): 52-64 (2019) - [j135]Proteek Chandan Roy, Andrey K. Guber, Mohammad Abouali, Amir Pouyan Nejadhashemi, Kalyanmoy Deb, Alvin J. M. Smucker:
Crop yield simulation optimization using precision irrigation and subsurface water retention technology. Environ. Model. Softw. 119: 433-444 (2019) - [j134]Amir H. Gandomi, Kalyanmoy Deb, Ronald C. Averill, Shahryar Rahnamayan, Mohammad Nabi Omidvar:
Using semi-independent variables to enhance optimization search. Expert Syst. Appl. 120: 279-297 (2019) - [j133]Matt Ryerkerk, Ronald C. Averill, Kalyanmoy Deb, Erik D. Goodman:
A survey of evolutionary algorithms using metameric representations. Genet. Program. Evolvable Mach. 20(4): 441-478 (2019) - [j132]Rituparna Datta, Kalyanmoy Deb, Jong-Hwan Kim:
CHIP: Constraint Handling with Individual Penalty approach using a hybrid evolutionary algorithm. Neural Comput. Appl. 31(9): 5255-5271 (2019) - [j131]Ankur Sinha, Tharo Soun, Kalyanmoy Deb:
Using Karush-Kuhn-Tucker proximity measure for solving bilevel optimization problems. Swarm Evol. Comput. 44: 496-510 (2019) - [j130]Zhun Fan, Wenji Li, Xinye Cai, Hui Li, Caimin Wei, Qingfu Zhang, Kalyanmoy Deb, Erik D. Goodman:
Push and pull search for solving constrained multi-objective optimization problems. Swarm Evol. Comput. 44: 665-679 (2019) - [j129]Hui Li, Kalyanmoy Deb, Qingfu Zhang, Ponnuthurai N. Suganthan, Lei Chen:
Comparison between MOEA/D and NSGA-III on a set of novel many and multi-objective benchmark problems with challenging difficulties. Swarm Evol. Comput. 46: 104-117 (2019) - [j128]Zhun Fan, Yugen You, Xinye Cai, Haodong Zheng, Guijie Zhu, Wenji Li, Akhil Garg, Kalyanmoy Deb, Erik D. Goodman:
Analysis and multi-objective optimization of a kind of teaching manipulator. Swarm Evol. Comput. 50 (2019) - [j127]Proteek Chandan Roy, Kalyanmoy Deb, Md. Monirul Islam:
An Efficient Nondominated Sorting Algorithm for Large Number of Fronts. IEEE Trans. Cybern. 49(3): 859-869 (2019) - [j126]Kalyanmoy Deb, Rayan Hussein, Proteek Chandan Roy, Gregorio Toscano Pulido:
A Taxonomy for Metamodeling Frameworks for Evolutionary Multiobjective Optimization. IEEE Trans. Evol. Comput. 23(1): 104-116 (2019) - [j125]Haitham Seada, Mohamed Abouhawwash, Kalyanmoy Deb:
Multiphase Balance of Diversity and Convergence in Multiobjective Optimization. IEEE Trans. Evol. Comput. 23(3): 503-513 (2019) - [j124]Hui Li, Kalyanmoy Deb, Qingfu Zhang:
Variable-Length Pareto Optimization via Decomposition-Based Evolutionary Multiobjective Algorithm. IEEE Trans. Evol. Comput. 23(6): 987-999 (2019) - [c284]