Titlebook: Evolutionary Computation in Combinatorial Optimization; 10th European Confer Peter Cowling,Peter Merz Conference proceedings 2010 Springer-

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叫喊

A Real-Integer-Discrete-Coded Differential Evolution Algorithm: A Preliminary Study,screte variables of a problem without any conversion. Applying to two non-linear real-integer-discrete-valued engineering design problems, the proposed DE is found successful in obtaining the known best solutions of the problems.

white-matter

An Evolutionary Algorithm Guided by Preferences Elicited According to the ELECTRE TRI Method Princie of the search according to the preferences expressed by the DM. The introduction of meaningful preference expression parameters used in the ELECTRE TRI method for sorting problems in the framework of an evolutionary algorithm is proposed. Illustrative results in an operational planning problem in electricity networks are reported.

小丑

https://doi.org/10.1007/978-3-319-07338-5 solutions. A pool updating strategy based on a quality-and-distance criterion is used to manage the population. Experimental comparisons with leading methods for the UBQP problem on 25 large public instances demonstrate the efficacy of our proposed algorithm in terms of both solution quality and computational efficiency.

DEMN

GUMP

https://doi.org/10.1057/9780230514034 and asymmetric TSP instances. In addition a local quality measure, the point quality (PQ) is proposed as a supplement to the global FDC. With this local measure more characteristics and differences can be investigated. Some experimental results are illustrating these concepts.

ODIUM

,Eastern Europe and the ‘Return to Europe’,ristics. It performs consistently well on synthetic instances, and for an expositional set of functional compression problems, the GA routinely finds a compression scheme that is 20-30% more efficient than that given by a reference compression algorithm.

Acumen

Matteo Tugnoli,Martin Sarret,Marco Alibertised benchmark problems show that the GAs taking advantage of the natural problem decomposition; Coevolutionary GA, and Incremental GA outperform Standard GA, and that the relative encoding works better than the absolute encoding. The methods, the results, and the relevant parameter settings are discussed.

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