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This is a progress report describing my research during the last one and a half year, performed during part A of my Ph.D. study… Expand Decomposition is a basic strategy in traditional multiobjective optimization. However, it has not yet been widely used in… Expand The issue of setting the values of various parameters of an evolutionary algorithm is crucial for good performance. In this paper… Expand List of Figures. List of Tables. Preface. Foreword. 1. Basic Concepts. 2. Evolutionary Algorithm MOP Approaches. 3. MOEA Test… Expand The Strength Pareto Evolutionary Algorithm (SPEA) (Zitzler and Thiele 1999) is a relatively recent technique for finding or… Expand From the Publisher:
Evolutionary algorithms are relatively new, but very powerful techniques used to find solutions to many real… Expand Evolutionary algorithms (EAs) are often well-suited for optimization problems involving several, often conflicting objectives… Expand Multiple, often conflicting objectives arise naturally in most real-world optimization scenarios. As evolutionary algorithms… Expand Introduction PART I: A COMPARISON OF EVOLUTIONARY ALGORITHMS 1. Organic Evolution and Problem Solving 2. Specific Evolutionary… Expand Evolutionary computation techniques have received a great deal of attention regarding their potential as optimization techniques… Expand