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Mohammed El-Abd
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- affiliation: American University of Kuwait, Kuwait
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2020 – today
- 2024
- [j17]Ali Kelkawi, Imtiaz Ahmad, Mohammed El-Abd:
Spark-based cooperative coevolution for large scale global optimization. Clust. Comput. 27(2): 1911-1926 (2024) - [j16]Mounib Khanafer, Mouhcine Guennoun, Mohammed El-Abd, Hussein T. Mouftah:
Improved Adaptive Backoff Algorithm for Optimal Channel Utilization in Large-Scale IEEE 802.15.4-Based Wireless Body Area Networks. Future Internet 16(9): 313 (2024) - [c55]Seyed Jalaleddin Mousavirad, Diego Oliva, Gerald Schaefer, Mahshid Helali Moghadam, Mohammed El-Abd:
A Novel Two-Level Clustering-Based Differential Evolution Algorithm for Training Neural Networks. EvoApplications@EvoStar 2024: 259-272 - 2023
- [j15]Diego Oliva, Noé Ortega-Sánchez, Mario A. Navarro, Alfonso Ramos-Michel, Mohammed El-Abd, Seyed Jalaleddin Mousavirad, Mohammad H. Nadimi-Shahraki:
Segmentation of thermographies from electronic systems by using the global-best brain storm optimization algorithm. Multim. Tools Appl. 82(29): 44911-44941 (2023) - [j14]Iyad Abu Doush, Mohammed El-Abd, Abdelaziz I. Hammouri, Mohammad Qasem Bataineh:
The effect of different stopping criteria on multi-objective optimization algorithms. Neural Comput. Appl. 35(2): 1125-1155 (2023) - [j13]Ali Kelkawi, Mohammed El-Abd, Imtiaz Ahmad:
GPU-based cooperative coevolution for large-scale global optimization. Neural Comput. Appl. 35(6): 4621-4642 (2023) - [c54]Sahar Rahmani, Seyed Jalaleddin Mousavirad, Mohammed El-Abd, Gerald Schaefer, Diego Oliva:
Centroid-Based Differential Evolution with Composite Trial Vector Generation Strategies for Neural Network Training. EvoApplications@EvoStar 2023: 608-622 - [c53]Ayman Kandil, Ali Darwiche, Reem Qasem, Fatima Matook, Ahmad Younis, Habib Badran, Maryam Bin-Jassem, Ossama Ahmed, Ali Behiry, Mohammed El-Abd, Mounib Khanafer:
Pipeline Leak Identification Emergency Robot Swarm (PLIERS). SECON 2023: 381-383 - 2022
- [j12]Iyad Abu Doush, Mohammed Azmi Al-Betar, Mohammed A. Awadallah, Zaid Abdi Alkareem Alyasseri, Sharif Naser Makhadmeh, Mohammed El-Abd:
Island neighboring heuristics harmony search algorithm for flow shop scheduling with blocking. Swarm Evol. Comput. 74: 101127 (2022) - [j11]Palwasha W. Shaikh, Mohammed El-Abd, Mounib Khanafer, Kaizhou Gao:
A Review on Swarm Intelligence and Evolutionary Algorithms for Solving the Traffic Signal Control Problem. IEEE Trans. Intell. Transp. Syst. 23(1): 48-63 (2022) - [c52]Karam M. Sallam, Mohamed Abdel-Basset, Mohammed El-Abd, Ali Wagdy Mohamed:
IMODEII: an Improved IMODE algorithm based on the Reinforcement Learning. CEC 2022: 1-8 - [c51]Nada A. Nabeeh, Ahmed Abdel-Monem, Mai Mohamed, Karam M. Sallam, Mohamed Abdel-Basset, Mohammed El-Abd, Ali Wagdy Mohamed:
A Comparative Analysis for a Novel Hybrid Methodology using Neutrosophic theory with MCDM for Manufacture Selection. FUZZ-IEEE 2022: 1-8 - [c50]Nada A. Nabeeh, Mai Mohamed, Ahmed Abdel-Monem, Mohamed Abdel-Basset, Karam M. Sallam, Mohammed El-Abd, Ali Wagdy Mohamed:
A Neutrosophic Evaluation Model for Blockchain Technology in Supply Chain Management. FUZZ-IEEE 2022: 1-8 - 2020
- [j10]Issam W. Damaj, Mohammed El-Shafei, Mohammed El-Abd, Mehmet Emin Aydin:
An analytical framework for high-speed hardware particle swarm optimization. Microprocess. Microsystems 72 (2020) - [j9]Ahmed Hassanein, Mohammed El-Abd, Issam W. Damaj, Haseeb Ur Rehman:
Parallel hardware implementation of the brain storm optimization algorithm using FPGAs. Microprocess. Microsystems 74: 103005 (2020) - [j8]Issam W. Damaj, Mohammed El-Abd, Ashley Ater-Kranov, Jennifer DeBoer:
Guest Editorial Special Issue on Project-Based, Senior Design, and Capstone Courses in Engineering Education. IEEE Trans. Educ. 63(2): 79-81 (2020) - [c49]Miao Zheng, Yoshikazu Fukuyama, Mohammed El-Abd, Tatsuya Iizaka, Tetsuro Matsui:
Overall Optimization of Smart City by Multi-population Global-best Brain Storm Optimization using Cooperative Coevolution. CEC 2020: 1-7 - [c48]Batool Hasan, Yara Al-Quorashy, Shahad Al-Mousa, Yousef Al-Sahhaf, Mohammed El-Abd:
V-LAB - The Virtual Electric Machines Laboratory. EDUCON 2020: 72-77 - [c47]Mounib Khanafer, Mohammed El-Abd:
Stimulating Research Projects Through Teaching a Course on the Internet of Things. EDUCON 2020: 1758-1763 - [c46]Mohammed El-Abd, Kunjie Yu, Shilei Ge:
Parameters Identification of Photovoltaic Cell and Module Using LSHADE. ICACI 2020: 189-193 - [c45]Iyad Abu Doush, Mohammed Azmi Al-Betar, Mohammed A. Awadallah, Abdelaziz I. Hammouri, Mohammed El-Abd:
Island-based Modified Harmony Search Algorithm with Neighboring Heuristics Methods for Flow Shop Scheduling with Blocking. SSCI 2020: 976-982
2010 – 2019
- 2019
- [c44]Mohammed El-Abd:
Gaussian Bare-Bones Brain Storm Optimization Algorithm. CEC 2019: 227-233 - [c43]Mayuko Sato, Yoshikazu Fukuyama, Mohammed El-Abd, Tatsuya Iizaka, Tetsuro Matsui:
Total Optimization of Energy Networks in Smart City by Cooperative Coevolution using Global-best Brain Storm Optimization. CEC 2019: 681-688 - [c42]Hanan Hiba, Mohammed El-Abd, Shahryar Rahnamayan:
Improving SHADE with Center-based Mutation for Large-scale Optimization. CEC 2019: 1533-1540 - [c41]Mounib Khanafer, Mohammed El-Abd:
Guidelines for Teaching an Introductory Course on the Internet of Things. EDUCON 2019: 1488-1492 - [c40]Junfeng Chen, Yuhao Wang, Xingsi Xue, Shi Cheng, Mohammed El-Abd:
Cooperative Co-evolutionary Metaheuristics for Solving Large-Scale TSP Art Project. SSCI 2019: 2706-2713 - [c39]Mohamed E. Abd Elaziz, Songfeng Lu, Diego Oliva, Mohammed El-Abd:
Improved Moth-Flame Optimization Based on Opposition-Based Learning for Feature Selection. SSCI 2019: 3017-3024 - [p2]Seham Elsayed, Mohammed El-Abd, Karam M. Sallam:
Enhancing the Local Search Ability of the Brain Storm Optimization Algorithm by Covariance Matrix Adaptation. Brain Storm Optimization Algorithms 2019: 105-122 - 2018
- [c38]Mohammed El-Abd:
Balancing low-level vs. high-level programming knowledge in an undergraduate microprocessors course. EDUCON 2018: 268-275 - 2017
- [j7]Mohammed El-Abd:
A Review of Embedded Systems Education in the Arduino Age: Lessons Learned and Future Directions. Int. J. Eng. Pedagog. 7(2): 79-93 (2017) - [j6]Mohammed El-Abd:
Preparation of Engineering Students for Capstone Design Experience through a Microprocessors Course. Int. J. Eng. Pedagog. 7(4): 91-101 (2017) - [j5]Mohammed El-Abd:
Global-best brain storm optimization algorithm. Swarm Evol. Comput. 37: 27-44 (2017) - [c37]Ahmed Bitar, Aliaa Jamal, Hesham Sultan, Nour Alkandari, Mohammed El-Abd:
Medical Drones System for Amusement Parks. AICCSA 2017: 19-20 - [c36]Mennatallah Ibrahim, Mark Riad, Mohammed El-Abd:
RoadEye - The Intelligent Transportation System. AICCSA 2017: 21-22 - [c35]Abeer Imdoukh, Ahmed Shaker, Aya Al-Toukhy, Darin Kablaoui, Mohammed El-Abd:
Semi-autonomous indoor firefighting UAV. ICAR 2017: 310-315 - [c34]Fatemah Taqi, Fatima Al-Langawi, Heba Abdulraheem, Mohammed El-Abd:
A cherry-tomato harvesting robot. ICAR 2017: 463-468 - [c33]Marwa Sharawi, Mohammed El-Abd:
A cooperative co-evolutionary LSHADE algorithm for large-scale global optimization. SSCI 2017: 1-8 - 2016
- [c32]Mohammed El-Abd:
Brain storm optimization algorithm with re-initialized ideas and adaptive step size. CEC 2016: 2682-2686 - [c31]Mohammed El-Abd:
Cooperative co-evolution using LSHADE with restarts for the CEC15 benchmarks. CEC 2016: 4810-4814 - [c30]Mohammed El-Abd:
How course projects can successfully prepare engineering students for capstone design projects. EDUCON 2016: 746-750 - [c29]Mohammed El-Abd:
Cooperative coevolution using the Brain Storm Optimization Algorithm. SSCI 2016: 1-7 - 2015
- [c28]Bashayer Al-Beeshi, Bashayer Al-Mesbah, Sara Al-Dosari, Mohammed El-Abd:
iPlant: The greenhouse robot. CCECE 2015: 1489-1494 - [c27]Mohammed El-Abd:
Hybrid cooperative co-evolution for the CEC15 benchmarks. CEC 2015: 1053-1058 - [c26]Jibran Yousafzai, Issam W. Damaj, Mohammed El-Abd:
A unified approach for assessing capstone design projects and student outcomes in computer engineering programs. EDUCON 2015: 333-339 - [c25]Ahmed Hassanein, Mohanad Elhawary, Nour Jaber, Mohammed El-Abd:
An autonomous firefighting robot. ICAR 2015: 530-535 - [c24]Nasser Al-Ostath, Fatma Selityn, Zainab Al-Roudhan, Mohammed El-Abd:
Implementation of an emergency vehicle to traffic lights communication system. NTMS 2015: 1-5 - 2014
- [c23]Khaled Al-Ajmi, Mohammed El-Abd:
Implementing a population-based harmony search algorithm on graphic processing units. CCECE 2014: 1-5 - [c22]Dana A. L. Matter, Maryam A. L. Omar, Jarrah H. Jarrah, Mohammed El-Abd:
"Be safe" smart system. CCECE 2014: 1-6 - [c21]Mohammed El-Abd:
Hybrid cooperative co-evolution for large scale optimization. SIS 2014: 343-348 - 2013
- [j4]Mohammed El-Abd:
An improved global-best harmony search algorithm. Appl. Math. Comput. 222: 94-106 (2013) - [c20]Mohammed El-Abd:
Local best Artificial Bee Colony algorithm with dynamic sub-populations. IEEE Congress on Evolutionary Computation 2013: 522-528 - [c19]Mohammed El-Abd:
Testing a Particle Swarm Optimization and Artificial Bee Colony Hybrid algorithm on the CEC13 benchmarks. IEEE Congress on Evolutionary Computation 2013: 2215-2220 - [c18]Safaa Zaman, Mohammed El-Abed, Fakhri Karray:
Features selection approaches for intrusion detection systems based on evolution algorithms. ICUIMC 2013: 10 - 2012
- [j3]Mohammed El-Abd:
Performance assessment of foraging algorithms vs. evolutionary algorithms. Inf. Sci. 182(1): 243-263 (2012) - [c17]Mohammed El-Abd:
Generalized opposition-based artificial bee colony algorithm. IEEE Congress on Evolutionary Computation 2012: 1-4 - [c16]Mohammed El-Abd, Mohamed S. Kamel:
Particle Swarm Optimization with Adaptive Bounds. IEEE Congress on Evolutionary Computation 2012: 1-6 - 2011
- [c15]Mohammed El-Abd:
Opposition-based artificial bee colony algorithm. GECCO 2011: 109-116 - [c14]Mohammed El-Abd:
A hybrid ABC-SPSO algorithm for continuous function optimization. SWIS 2011: 96-101 - 2010
- [j2]Mohammed El-Abd, Hassan Hassan, Mohab Anis, Mohamed S. Kamel, Mohamed I. Elmasry:
Discrete cooperative particle swarm optimization for FPGA placement. Appl. Soft Comput. 10(1): 284-295 (2010) - [j1]Mohammed El-Abd, Mohamed S. Kamel:
A cooperative particle swarm optimizer with migration of heterogeneous probabilistic models. Swarm Intell. 4(1): 57-89 (2010) - [c13]Mohammed El-Abd:
A cooperative approach to The Artificial Bee Colony algorithm. IEEE Congress on Evolutionary Computation 2010: 1-5 - [c12]Mohammed El-Abd:
Black-box optimization benchmarking for noiseless function testbed using artificial bee colony algorithm. GECCO (Companion) 2010: 1719-1724
2000 – 2009
- 2009
- [c11]Mohammed El-Abd, Hassan Hassan, Mohamed S. Kamel:
Discrete and continuous particle swarm optimization for FPGA placement. IEEE Congress on Evolutionary Computation 2009: 706-711 - [c10]Mohammed El-Abd:
Preventing premature convergence in a PSO and EDA hybrid. IEEE Congress on Evolutionary Computation 2009: 3060-3066 - [c9]Mohammed El-Abd, Mohamed S. Kamel:
Black-box optimization benchmarking for noiseless function testbed using an EDA and PSO hybrid. GECCO (Companion) 2009: 2263-2268 - [c8]Mohammed El-Abd, Mohamed S. Kamel:
Black-box optimization benchmarking for noiseless function testbed using particle swarm optimization. GECCO (Companion) 2009: 2269-2274 - [c7]Mohammed El-Abd, Mohamed S. Kamel:
Black-box optimization benchmarking for noiseless function testbed using PSO_bounds. GECCO (Companion) 2009: 2275-2280 - [p1]Mohammed El-Abd, Mohamed S. Kamel:
PSO_Bounds: A New Hybridization Technique of PSO and EDAs. Foundations of Computational Intelligence (3) 2009: 509-526 - 2007
- [c6]Mohammed El-Abd, Mohamed S. Kamel:
Particle swarm optimization with varying bounds. IEEE Congress on Evolutionary Computation 2007: 4757-4761 - 2006
- [c5]Mohammed El-Abd, Mohamed S. Kamel:
On The Convergence of Information Exchange Methods in Multiple Cooperating Swarms. IEEE Congress on Evolutionary Computation 2006: 1052-1056 - 2005
- [c4]Mohammed El-Abd, Mohamed Kamel:
Factors governing the behavior of multiple cooperating swarms. GECCO 2005: 269-270 - [c3]Mohammed El-Abd, Mohamed Kamel:
A Taxonomy of Cooperative Search Algorithms. Hybrid Metaheuristics 2005: 32-41 - [c2]Mohammed El-Abd, Mohamed Kamel:
Information exchange in multiple cooperating swarms. SIS 2005: 138-142 - [c1]Mohammed El-Abd, Mohamed Kamel:
Multiple Cooperating Swarms for Non-Linear Function Optimization. WSTST 2005: 999-1008
Coauthor Index
aka: Mohamed Kamel
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last updated on 2024-10-23 20:35 CEST by the dblp team
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