Evolutionary Computation in Combinatorial Optimization - Info and Reading Options

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Intro -- Preface -- Organization -- Contents -- A Cooperative Optimization Approach for Distributing Service Points in Mobility Applications -- 1 Introduction -- 2 The Service Point Distribution Problem -- 3 Related Work -- 4 Cooperative Optimization Algorithm -- 4.1 Solution Management Component -- 4.2 Feedback Component -- 4.3 Evaluation Component -- 4.4 Optimization Component -- 5 Experimental Evaluation -- 5.1 Benchmark Scenarios -- 5.2 Computational Experiments -- 6 Conclusion -- References -- A Binary Algebraic Differential Evolution for the MultiDimensional Two-Way Number Partitioning Problem -- 1 Introduction -- 2 Related Work -- 3 The General Scheme of MADEB -- 4 Algebraic Differential Mutation for the Binary Space -- 4.1 Abstract Algebraic Framework -- 4.2 Binary Algebraic Differential Mutation -- 4.3 Search Characteristics of the Binary Differential Mutation -- 5 Variable Neighborhood Descent for MDTWNPP -- 6 Experiments -- 6.1 Experimental Tuning of MADEB -- 6.2 Comparison with State-of-the-Art MDTWNPP Algorithms -- 7 Conclusions and Future Work -- References -- A New Representation in Genetic Programming for Evolving Dispatching Rules for Dynamic Flexible Job Shop Scheduling -- 1 Introduction -- 2 Background -- 2.1 Dynamic Flexible Job Shop Scheduling -- 2.2 Dispatching Rules in Dynamic Flexible Job Shop Scheduling -- 2.3 Related Work -- 3 The Proposed GP Approach -- 3.1 Representation -- 3.2 Components Design -- 4 Experiment Design -- 4.1 Simulation Configuration -- 4.2 Parameter Settings -- 5 Results and Discussions -- 5.1 Test Performance of Evolved Rules -- 5.2 Distribution of Average Objective Value -- 5.3 Rule Analyses -- 6 Conclusions and Future Work -- References -- An Iterated Local Search Algorithm for the Two-Machine Flow Shop Problem with Buffers and Constant Processing Times on One Machine -- 1 Introduction

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