Multi-Objective Optimization Using Evolutionary Algorithms

The Wiley Paperback Series makes valuable content more accessible to a new generation of statisticians, mathematicians and scientists. <p>Evolutionary algorithms are very powerful techniques used to find solutions to real-world search and optimization problems. Many of these problems have multiple objectives, which leads to the need to obtain a set of optimal solutions, known as effective solutions. It has been found that using evolutionary algorithms is a highly effective way of finding multiple effective solutions in a single simulation run.</p> <ol> <li>Comrephensive coverage of this growing area of research.</li> <li>Carefully introduces each algorithm with examples and in-depth discussion.</li> <li>Includes many applications to real-world problems, including engineering design and scheduling.</li> <li>Includes discussion of advanced topics and future research.</li> <li>Accessible to those with limited knowledge of multi-objective optimization and evolutionary algorithms</li> </ol> <p>Provides an extensive discussion on the principles of multi-objective optimization and on a number of classical approaches.</p> <p>This integrated presentation of theory, algorithms and examples will benefit those working in the areas of optimization, optimal design and evolutionary computing.</p>