Titlebook: Evolutionary Multi-Criterion Optimization; First International Eckart Zitzler,Lothar Thiele,David Corne Conference proceedings 2001 Spring

譴責(zé)

書目名稱Evolutionary Multi-Criterion Optimization影響因子(影響力)




書目名稱Evolutionary Multi-Criterion Optimization影響因子(影響力)學(xué)科排名




書目名稱Evolutionary Multi-Criterion Optimization網(wǎng)絡(luò)公開度




書目名稱Evolutionary Multi-Criterion Optimization網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Evolutionary Multi-Criterion Optimization被引頻次




書目名稱Evolutionary Multi-Criterion Optimization被引頻次學(xué)科排名




書目名稱Evolutionary Multi-Criterion Optimization年度引用




書目名稱Evolutionary Multi-Criterion Optimization年度引用學(xué)科排名




書目名稱Evolutionary Multi-Criterion Optimization讀者反饋




書目名稱Evolutionary Multi-Criterion Optimization讀者反饋學(xué)科排名

tinnitus

Bombast

Isidora Stojanovic,Louise McNallynnot be neglected. The results lead not only to better insight into the working principle of multi-objective evolutionary algorithms but also to design recommendations that can help possible users in including the essential features into their own algorithms in a modular fashion.

可行

龍蝦

Controlled Elitist Non-dominated Sorting Genetic Algorithms for Better Convergence NSGA-II. The need for a controlled elitism in evolutionary multi-objective optimiza- tion, demonstrated in this paper should encourage similar or other ways of implementing controlled elitism in other multi-objective evolutionary algorithms.

adduction

adduction

On The Effects of Archiving, Elitism, and Density Based Selection in Evolutionary Multi-objective Opnnot be neglected. The results lead not only to better insight into the working principle of multi-objective evolutionary algorithms but also to design recommendations that can help possible users in including the essential features into their own algorithms in a modular fashion.

驚奇

Inclement

https://doi.org/10.1007/3-540-08931-4ate method could be found for different purposes. The methods are classified according to the role of a decision maker in the solution process. The main emphasis is devoted to interactive methods where the decision maker progressively provides preference information so that the most satisfactory sol

分貝

Experimental Methods in Hydraulic Researchhandle more than one objective function at a time). The most commonly used evolutionary multiobjective optimization techniques will be described and criticized, including some of their applications. Theory, test functions and metrics will be also discussed. Finally, we will provide some possible pat