Metaheuristics: Intelligent Problem Solving

Metaheuristics: Intelligent Problem Solving
复制标题

元启发法:智能解决问题

DOI:
10.1007/978-1-4419-1306-7_1
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发表时间:
2010
期刊:
影响因子:
2.1
通讯作者:
S. Voß
S. Voß
中科院分区:
化学3区
文献类型:
--
作者:
M. Caserta;S. Voß

文献摘要

被引文献

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元启发式在合理的时间范围内,用强大的工具为商业、工程、经济和科学领域的重要问题提供高质量的解决方案,支持管理人员进行决策。尽管最近计算机技术的进步以及计算机科学、管理科学/运筹学和数学之间的巨大互动产生了影响,但在这些应用中找到精确的解决方案仍然是一个真正的挑战,(元)启发式似乎仍然是许多(不是大多数)应用中选择的方法。在本章中,我们将深入了解元启发式的现状。重点介绍了这些方法本身的重大进展,以及它们与精确方法的相互作用和杂交方面的进展。
Metaheuristics support managers in decision making with robust tools providing high quality solutions to important problems in business, engineering, economics and science in reasonable time horizons. While find- ing exact solutions in these applications still poses a real challenge despite the impact of recent advances in computer technology and the great inter- actions between computer science, management science/operations research and mathematics, (meta-) heuristics still seem to be the methods of choice in many (not to say most) applications. In this chapter we give some insight into the state of the art of metaheuristics. It focuses on the significant progress regarding the methods themselves as well as the advances regarding their interplay and hybridization with exact methods.