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Principles in Noisy Optimization

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Cover of 'Principles in Noisy Optimization'

Table of Contents

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    Book Overview
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    Chapter 1 Foundation in Evolutionary Optimization
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    Chapter 2 Agents and Multi-agent Coordination
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    Chapter 3 Recent Advances in Evolutionary Optimization in Noisy Environment—A Comprehensive Survey
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    Chapter 4 Learning Automata and Niching-Induced Noisy Optimization for Multi-robot Path-Planning
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    Chapter 5 Noisy Multi-objective Optimization for Multi-robot Box-Pushing Application
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    Chapter 6 Enhancing Noise-Tolerant Behavior of Traditional Evolutionary and Swarm Algorithms
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    Chapter 7 Conclusions and Future Directions
Attention for Chapter 4: Learning Automata and Niching-Induced Noisy Optimization for Multi-robot Path-Planning
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