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EvoCOP 2015: Copenhagen, Denmark
- Gabriela Ochoa, Francisco Chicano:
Evolutionary Computation in Combinatorial Optimization - 15th European Conference, EvoCOP 2015, Copenhagen, Denmark, April 8-10, 2015, Proceedings. Lecture Notes in Computer Science 9026, Springer 2015, ISBN 978-3-319-16467-0 - Leonard Heilig, Eduardo Lalla-Ruiz, Stefan Voß:
A Biased Random-Key Genetic Algorithm for the Cloud Resource Management Problem. 1-12 - Pascal Rebreyend, Laurent Lemarchand, Reinhardt Euler:
A Computational Comparison of Different Algorithms for Very Large p -median Problems. 13-24 - Bin Hu, Andreas Windbichler, Günther R. Raidl:
A New Solution Representation for the Firefighter Problem. 25-35 - Matthias Prandtstetter, Ulrike Ritzinger, Peter Schmidt, Mario Ruthmair:
A Variable Neighborhood Search Approach for the Interdependent Lock Scheduling Problem. 36-47 - Benjamin Biesinger, Bin Hu, Günther R. Raidl:
A Variable Neighborhood Search for the Generalized Vehicle Routing Problem with Stochastic Demands. 48-60 - Aldy Gunawan, Hoong Chuin Lau, Kun Lu:
An Iterated Local Search Algorithm for Solving the Orienteering Problem with Time Windows. 61-73 - Jun He, Yong Wang, Yuren Zhou:
Analysis of Solution Quality of a Multiobjective Optimization-Based Evolutionary Algorithm for Knapsack Problem. 74-85 - Travis Desell, Sophine Clachar, James Higgins, Brandon Wild:
Evolving Deep Recurrent Neural Networks Using Ant Colony Optimization. 86-98 - Richard J. Marshall, Mark Johnston, Mengjie Zhang:
Hyper-heuristic Operator Selection and Acceptance Criteria. 99-113 - Ayush Joshi, Jonathan E. Rowe, Christine Zarges:
Improving the Performance of the Germinal Center Artificial Immune System Using \epsilon -Dominance: A Multi-objective Knapsack Problem Case Study. 114-125 - Mihai Suciu, Rodica Ioana Lung, Noémi Gaskó:
Mixing Network Extremal Optimization for Community Structure Detection. 126-137 - Ons Sassi, Wahiba Ramdane Chérif-Khettaf, Ammar Oulamara:
Multi-start Iterated Local Search for the Mixed Fleet Vehicle Routing Problem with Heterogenous Electric Vehicles. 138-149 - Benjamin Correal, Philippe Galinier:
On the Complexity of Searching the Linear Ordering Problem Neighborhoods. 150-159 - Denis Antipov, Maxim Buzdalov, Benjamin Doerr:
Runtime Analysis of (1+1) Evolutionary Algorithm Controlled with Q-learning Using Greedy Exploration Strategy on OneMax+ZeroMax Problem. 160-172 - Laurent Moalic, Alexandre Gondran:
The New Memetic Algorithm HEAD for Graph Coloring: An Easy Way for Managing Diversity. 173-183 - Krzysztof Michalak:
The Sim-EA Algorithm with Operator Autoadaptation for the Multiobjective Firefighter Problem. 184-196 - Alexandre Quemy, Marc Schoenauer:
True Pareto Fronts for Multi-objective AI Planning Instances. 197-208 - Maxim Buzdalov, Mikhail Kever, Benjamin Doerr:
Upper and Lower Bounds on Unrestricted Black-Box Complexity of Jump _n, ℓ. 209-221 - Rachel Hunt, Mark Johnston, Mengjie Zhang:
Using Local Search to Evaluate Dispatching Rules in Dynamic Job Shop Scheduling. 222-233
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