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AUSAI
2009
Springer
16 years 1 months ago
A Distance Metric for Evolutionary Many-Objective Optimization Algorithms Using User-Preferences
In this paper we propose to use a distance metric based on user-preferences to efficiently find solutions for many-objective problems. In a user-preference based algorithm a decis...
Upali K. Wickramasinghe, Xiaodong Li
GECCO
2008
Springer
177views Optimization» more  GECCO 2008»
15 years 7 months ago
Reduced computation for evolutionary optimization in noisy environment
Evolutionary Algorithms’ (EAs’) application to real world optimization problems often involves expensive fitness function evaluation. Naturally this has a crippling effect on ...
Maumita Bhattacharya
CEC
2007
IEEE
16 years 1 months ago
Finding trade-off solutions close to KKT points using evolutionary multi-objective optimization
— Despite having a wide-spread applicability of evolutionary optimization procedures over the past few decades, EA researchers still face criticism about the theoretical optimali...
Kalyanmoy Deb, Rahul Tewari, Mayur Dixit, Joydeep ...
GECCO
2005
Springer
129views Optimization» more  GECCO 2005»
16 years 10 days ago
Evolutionary change in developmental timing
This paper presents a mutation-based evolutionary algorithm that evolves genotypic genes for regulating developmental timing of phenotypic values. The genotype sequentially genera...
Kei Ohnishi, Kaori Yoshida
PPSN
2004
Springer
16 years 5 days ago
Evolutionary Multi-agent Systems
In Multi-Agent learning, agents must learn to select actions that maximize their utility given the action choices of the other agents. Cooperative Coevolution offers a way to evol...
Pieter Jan't Hoen, Edwin D. de Jong