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Constraint Handling in Metaheuristics and Applications

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Cover of 'Constraint Handling in Metaheuristics and Applications'

Table of Contents

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    Book Overview
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    Chapter 1 The Find-Fix-Finish-Exploit-Analyze (F3EA) Meta-Heuristic Algorithm with an Extended Constraint Handling Technique for Constrained Optimization
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    Chapter 2 An Improved Cohort Intelligence with Panoptic Learning Behavior for Solving Constrained Problems
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    Chapter 4 Experimental Comparison of Constraint Handling Schemes in Particle Swarm Optimization
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    Chapter 5 Online Landscape Analysis for Guiding Constraint Handling in Particle Swarm Optimisation
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    Chapter 6 On the use of Gradient-Based Repair Method for Solving Constrained Multiobjective Optimization Problems—A Comparative Study
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    Chapter 7 MAP-Elites for Constrained Optimization
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    Chapter 8 Optimization of Fresh Food Distribution Route Using Genetic Algorithm with the Best Selection Technique
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    Chapter 9 Optimal Cutting Parameters Selection of Multi-Pass Face Milling Using Evolutionary Algorithms
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    Chapter 10 Role of Constrained Optimization Technique in the Hybrid Cooling of High Heat Generating IC Chips Using PCM-Based Mini-channels
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    Chapter 11 Maximizing Downlink Channel Capacity of NOMA System Using Power Allocation Based on Channel Coefficients Using Particle Swarm Optimization and Back Propagation Neural Network
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    Chapter 12 Rank Reduction and Diagonalization of Sensing Matrix for Millimeter Wave Hybrid Precoding Using Particle Swarm Optimization
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    Chapter 14 Comparative Analysis of Constraint Handling Techniques Based on Taguchi Design of Experiments
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