Evolutionary Computation in Combinatorial Optimization : 15th European Conference, EvoCOP 2015, Copenhagen, Denmark, April 8-10, 2015, Proceedings

Chapter 1 A Biased Random-Key Genetic Algorithm for the Cloud Resource Management Problem

Chapter 2 A Computational Comparison of Different Algorithms for Very Large $$p$$ -median Problems

Chapter 3 A New Solution Representation for the Firefighter Problem

Chapter 4 A Variable Neighborhood Search Approach for the Interdependent Lock Scheduling Problem

Chapter 5 A Variable Neighborhood Search for the Generalized Vehicle Routing Problem with Stochastic Demands

Chapter 6 An Iterated Local Search Algorithm for Solving the Orienteering Problem with Time Windows

Chapter 7 Analysis of Solution Quality of a Multiobjective Optimization-Based Evolutionary Algorithm for Knapsack Problem

Chapter 8 Evolving Deep Recurrent Neural Networks Using Ant Colony Optimization

Chapter 9 Hyper-heuristic Operator Selection and Acceptance Criteria

Chapter 10 Improving the Performance of the Germinal Center Artificial Immune System Using $$\epsilon $$ -Dominance: A Multi-objective Knapsack Problem Case Study

Chapter 11 Mixing Network Extremal Optimization for Community Structure Detection

Chapter 12 Multi-start Iterated Local Search for the Mixed Fleet Vehicle Routing Problem with Heterogenous Electric Vehicles

Chapter 13 On the Complexity of Searching the Linear Ordering Problem Neighborhoods

Chapter 14 Runtime Analysis of $$(1+1)$$ Evolutionary Algorithm Controlled with Q-learning Using Greedy Exploration Strategy on OneMax+ZeroMax Problem

Chapter 16 The Sim-EA Algorithm with Operator Autoadaptation for the Multiobjective Firefighter Problem

Chapter 17 True Pareto Fronts for Multi-objective AI Planning Instances

Chapter 18 Upper and Lower Bounds on Unrestricted Black-Box Complexity of Jump $$_{n,\ell }$$

Chapter 19 Using Local Search to Evaluate Dispatching Rules in Dynamic Job Shop Scheduling