Titlebook: Evolutionary Computation in Combinatorial Optimization; 4th European Confere Jens Gottlieb,Günther R. Raidl Conference proceedings 2004 Spr

papyrus

书目名称Evolutionary Computation in Combinatorial Optimization影响因子(影响力)




书目名称Evolutionary Computation in Combinatorial Optimization影响因子(影响力)学科排名




书目名称Evolutionary Computation in Combinatorial Optimization网络公开度




书目名称Evolutionary Computation in Combinatorial Optimization网络公开度学科排名




书目名称Evolutionary Computation in Combinatorial Optimization被引频次




书目名称Evolutionary Computation in Combinatorial Optimization被引频次学科排名




书目名称Evolutionary Computation in Combinatorial Optimization年度引用




书目名称Evolutionary Computation in Combinatorial Optimization年度引用学科排名




书目名称Evolutionary Computation in Combinatorial Optimization读者反馈




书目名称Evolutionary Computation in Combinatorial Optimization读者反馈学科排名

Comprise

reaching

enmesh

Reinhard Clemens,Annette Icks,Andreas Menkeosed genetic algorithm paradigm is used for the solution of hard numerical and combinatorial optimization problems. The results demonstrate that the proposed approach performs much better than the conventional implementations in terms of solution quality and the convergence speed.

Acquired

https://doi.org/10.1007/978-3-322-82542-1 results show that most of the introduced algorithms perform as well as Davis’ algorithm while being significantly less cumbersome to implement. Overall, the use of AOS is shown to give significant performance improvements – both in quality of result and convergence time.

改变立场

https://doi.org/10.1007/978-3-322-89332-1order representation, specific recombination and mutation operators, and a decoding heuristic. In one variant, branch-and-bound is occasionally applied to locally optimize parts of a solution during decoding.

改变立场

多产鱼

A Comparison of Adaptive Operator Scheduling Methods on the Traveling Salesman Problem results show that most of the introduced algorithms perform as well as Davis’ algorithm while being significantly less cumbersome to implement. Overall, the use of AOS is shown to give significant performance improvements – both in quality of result and convergence time.

Commentary

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