Tabu Search (TS) and, more recently, Scatter Search (SS) have
proved highly effective in solving a wide range of optimization
problems, and have had a variety of applications in industry,
science, and government. The goal of Metaheuristic Optimization via
Memory and Evolution: Tabu Search and Scatter Search is to report
original research on algorithms and applications of tabu search,
scatter search or both, as well as variations and extensions having
"adaptive memory programming" as a primary focus. Individual
chapters identify useful new implementations or new ways to
integrate and apply the principles of TS and SS, or that prove new
theoretical results, or describe the successful application of
these methods to real world problems.
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