Titlebook: Evolutionary Computing; AISB Workshop, Sheff Terence C. Fogarty Conference proceedings 1995 Springer-Verlag Berlin Heidelberg 1995 algorith

Remodeling

書目名稱Evolutionary Computing影響因子(影響力)




書目名稱Evolutionary Computing影響因子(影響力)學(xué)科排名




書目名稱Evolutionary Computing網(wǎng)絡(luò)公開(kāi)度




書目名稱Evolutionary Computing網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書目名稱Evolutionary Computing被引頻次




書目名稱Evolutionary Computing被引頻次學(xué)科排名




書目名稱Evolutionary Computing年度引用




書目名稱Evolutionary Computing年度引用學(xué)科排名




書目名稱Evolutionary Computing讀者反饋




書目名稱Evolutionary Computing讀者反饋學(xué)科排名

Affable

Europa 1992 — Chancen und Risiken problem using evolutionary computing methods are first compared. The recombination operators are then presented and various alternatives for incorporating heuristic knowledge in the search are described. Finally, results are presented comparing the operators on a real timetabling problem.

FOLLY

Souver?nit?t und monet?re Integrationles — to achieve potentially substantial gate count savings in large expressions when compared with an earlier version which used a single chromosome representation for the variable ordering only. The results also compare very favourably with one of the best heuristic minimisers in the literature [EXMIN2].

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heirloom

GROUP

https://doi.org/10.1007/978-3-322-83584-0tances in the pressed pulp produced. The second approach implements the genetic algorithm in direct control of the station with the identical goal of reducing the moisture content of the pressed pulp. This reduction improves energy efficiency of the driers which dry the pulp to be used as animal feed.

GROUP

Kinetic

魔鬼在游行

Some combinatorial landscapes on which a Genetic Algorithm outperforms other Stochastic iterative m are set-covering problems, in which the encoding used (hence defining the landscape) possesses a particular form of directed epistasis, Further, by distilling the features of this landscape which we feel are important to this empirical result, we introduce a general class of landscapes which also display this ‘GA advantage’.

archenemy

Specialised recombinative operators for timetabling problems, problem using evolutionary computing methods are first compared. The recombination operators are then presented and various alternatives for incorporating heuristic knowledge in the search are described. Finally, results are presented comparing the operators on a real timetabling problem.