Titlebook: Evolutionary Programming VII; 7th International Co V. W. Porto,N. Saravanan,A. E. Eiben Conference proceedings 1998 Springer-Verlag Berlin

Causalgia

書目名稱Evolutionary Programming VII影響因子(影響力)




書目名稱Evolutionary Programming VII影響因子(影響力)學科排名




書目名稱Evolutionary Programming VII網絡公開度




書目名稱Evolutionary Programming VII網絡公開度學科排名




書目名稱Evolutionary Programming VII被引頻次




書目名稱Evolutionary Programming VII被引頻次學科排名




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書目名稱Evolutionary Programming VII年度引用學科排名




書目名稱Evolutionary Programming VII讀者反饋




書目名稱Evolutionary Programming VII讀者反饋學科排名

提煉

Preferential partner selection in evolutionary labor markets: A study in agent-based computational ntractual partners and endogenously evolving work-site behavior. Three types of labor market structures are examined: two-sided markets comprising workers and employers; partially fluid markets comprising pure workers, pure employers, and agents capable of functioning both as workers and as employer

Functional

Subspace pursuit for exploratory modeling, can provide users with visualizations of two of three dimensional slices through such a space, but need to automate finding interesting pictures from among the very large number of possible slices. This problem, which can be called “subspace pursuit”, has proven very important for recent work in us

蹣跚

,Complete classes of strategies for the Classical Iterated Prisoner’s Dilemma,d be used in order to generate automatically a great numbers of strategies. Then we show some results of ecological evolution on those strategies, with the description of the experimentations we have made. Our main purpose is to find an objective method to evaluate strategies for the CIPD. Finally w

thwart

Evolutionary computing in multi-agent environments: Operators,operators of mutation and recombination. Using the tuneable . model of multi-agent evolution it is shown that the benefits of simple recombination and mutation vary depending on the type of system, with bit mutation capable of doing as well as recombination in systems with significant inter-agent ep

countenance

countenance

Testing three paradigms for evolving groups of cooperative, simple agents,le representations of a population or group of populations used to evolve a cooperative simulated robot team. The goal of this work is to identify the effect of the different representations upon the total group effectiveness and individual contributions of group members.

WAG

Acquisition of general adaptive features by evolution, over time? We find statistically significant appearance of general adaptive features in a spatially distributed population of prisoner‘s dilemma playing agents in a noisy environment. Multiple populations are evolved in an evolutionary algorithm structured as a cellular automaton with states drawn

信條

Hybrid interior-lagrangian penalty based evolutionary optimization,f the earlier method of Evolian (evolutionary optimization based on Lagrangian), the difference comes in the form of the penalty function. The hybrid of an interior penalty and augmented Lagrangian function ensures the generation of feasible solutions during the evolutionary search process with less

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