Bøger af Zbigniew Michalewicz

Evolutionary algorithms are general-purpose search procedures based on the mechanisms of natural selection and population genetics. They are appealing because they are simple, easy to interface, and easy to extend. This volume is concerned with applications of evolutionary algorithms and associated strategies in engineering. It will be useful for engineers, designers, developers, and researchers in any scientific discipline interested in the applications of evolutionary algorithms. The volume consists of five parts, each with four or five chapters. The topics are chosen to emphasize application areas in different fields of engineering. Each chapter can be used for self-study or as a reference by practitioners to help them apply evolutionary algorithms to problems in their engineering domains.

No pleasure lasts long unless there is variety in it. Publilius Syrus, Moral Sayings We've been very fortunate to receive fantastic feedback from our readers during the last four years, since the first edition of How to Solve It: Modern Heuristics was published in 1999. It's heartening to know that so many people appreciated the book and, even more importantly, were using the book to help them solve their problems. One professor, who published a review of the book, said that his students had given the best course reviews he'd seen in 15 years when using our text. There can be hardly any better praise, except to add that one of the book reviews published in a SIAM journal received the best review award as well. We greatly appreciate your kind words and personal comments that you sent, including the few cases where you found some typographical or other errors. Thank you all for this wonderful support.

Hence evolution programming techniques, based on genetic algorithms, are applicable to many hard optimization problems, such as optimization of functions with linear and nonlinear constraints, the traveling salesman problem, and problems of scheduling, partitioning, and control.

Adaptive business intelligence systems combine prediction and optimization techniques to assist decision makers in complex, rapidly changing environments. This book explains the science and application of numerous prediction and optimization techniques, and shows how they can be used to develop adaptive systems.

Winning Credibility: A guide for building a business from rags to riches is not a replacement for all the books on "e;how to succeed in business"e; or "e;how to be great at sales."e; Instead, it is an integral complement to both. Without raising or borrowing millions of dollars, this book explains the art and science of crafting a company image that others will hold in high esteem. A company image that will be associated with success and staying power-even if the company is brand new; with customer satisfaction and on time delivery-even if the first client remains unwon; and with praise, promise, and upside-even if the business plan is still wet. Although the process of building a business from rags to riches is never easy, the tips and techniques in this book can smooth out some of the bumps in the road.

discusses models for student engagement, setting up puzzle clubs, hosting a puzzle competition, and warm-up activities; provides a collection of puzzle sets for use during a Puzzle-based Learning event, including puzzles that require probabilistic reasoning, and logic and geometry puzzles.

One professor, who published a review of the book, said that his students had given the best course reviews he'd seen in 15 years when using our text. There can be hardly any better praise, except to add that one of the book reviews published in a SIAM journal received the best review award as well.