Book Details

978-3-540-74446-7

Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics

Publication year: 2007

ISBN: 978-3-540-74446-7

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Stochastic local search (SLS) algorithms enjoy great popularity as powerful and versatile tools for tackling computationally hard decision and optimization pr- lems from many areas of computer science, operations research, and engineering. However, in recent years it has become evident that at the core of this development task there is a highly complex engineering process, which combines various aspects of algorithm design with empirical analysis techniques and problem-specific background, and which relies heavily on knowledge from a number of disciplines and areas, including computer science, operations research, artificial intelligence, and statistics. This development process needs to be - sisted by a sound methodology that addresses the issues arising in the various phases of algorithm design, implementation, tuning, and experimental eval- tion.


Subject: Computer Science, AI, OR techniques, Boolean function, algorithm perfornamce, algorithms, behavior of SLS algorithms, calculus, dynamic behavior, linear optimization, metaheuristic, methodological developments, optimization, programming, search space analysis, tuning procedures, visualization, data structures, algorithm analysis and problem complexity