پیشرفتها در الگوریتمهای تکاملی
Advances in Evolutionary Algorithms
معرفی کتاب «پیشرفتها در الگوریتمهای تکاملی» (با عنوان لاتین Advances in Evolutionary Algorithms) نوشتهٔ Witold Kosinski (ed.)، منتشرشده توسط نشر AvE4EvA در سال 2008. این کتاب در فرمت pdf، زبان انگلیسی ارائه شده است.
With the recent trends towards massive data sets and significant computational power, combined with evolutionary algorithmic advances evolutionary computation is becoming much more relevant to practice. Aim of the book is to present recent improvements, innovative ideas and concepts in a part of a huge EA field. Cover Advances in Evolutionary Algorithms © Contents Preface Part I: Foundations and New Methods 1 Limit Properties of Evolutionary Algorithms 2 Evolutionary Systems Identification: New Algorithmic Concepts and Applications 3 FPBIL: A Parameter-free Evolutionary Algorithm Part II: Hybrid and Harmony Search 5 An Adaptive Evolutionary Algorithm Combining Evolution Strategy and Genetic Algorithm (Application of Fuzzy Power System Stabilizer) 6 A Simple Hybrid Particle Swarm Optimization 7 Recent Advances in Harmony Search 8 A Hybrid Evolutionary Algorithm and its Application to Parameter Identification of Rolling Elements Bearings 9 Domain Decomposition Evolutionary Algorithm for Multi-Modal Function Optimization Part III: Dynamic Environment and Multi-Objective Optimization 10 Evolutionary Algorithms with Dissortative Mating on Static and Dynamic Environments 11 Adapting Genetic Algorithms for Combinatorial Optimization Problems in Dynamic Environments 12 Agent-Based Co-Evolutionary Techniques for Solving Multi-Objective Optimization Problems 13 Evolutionary Multi-Objective Robust Optimization 14 Improving Interpretability of Fuzzy Models Using Multi-Objective Neuro-Evolutionary Algorithms 15 Multi-objective Uniform-diversity Genetic Algorithm (MUGA) 16 EA-based Problem Solving Environment over the GRID Part IV: Applications 17 Evolutionary Methods for Learning Bayesian Network Structures 18 Design of Phased Antenna Arrays using Evolutionary Optimization Techniques 19 Design of an Efficient Genetic Algorithm to Solve the Industrial Car Sequencing Problem 20 Symbiotic Evolution Genetic Algorithms for Reinforcement Fuzzy Systems Design 21 Evolutionary Computation Applied to Urban Traffic Optimization 22 Evolutionary Algorithms in Decision Tree Induction
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