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GECCO
2010
Springer
211views Optimization» more  GECCO 2010»
13 years 9 months ago
Investigating EA solutions for approximate KKT conditions in smooth problems
Evolutionary algorithms (EAs) are increasingly being applied to solve real-parameter optimization problems due to their flexibility in handling complexities such as non-convexity,...
Rupesh Tulshyan, Ramnik Arora, Kalyanmoy Deb, Joyd...
WICON
2008
13 years 9 months ago
Optimal stochastic routing in low duty-cycled wireless sensor networks
We study a routing problem in wireless sensor networks where sensors are duty-cycled. When sensors alternate between on and off modes, delay encountered in packet delivery due to ...
Dongsook Kim, Mingyan Liu
IAT
2005
IEEE
14 years 1 months ago
Decomposition Techniques for a Loosely-Coupled Resource Allocation Problem
We are interested by contributing to stochastic problems of which the main distinction is that some tasks may create other tasks. In particular, we present a first approach which...
Pierrick Plamondon, Brahim Chaib-draa, Abder Rezak...
GECCO
1999
Springer
158views Optimization» more  GECCO 1999»
14 years 8 days ago
Coevolutionary Genetic Algorithms for Solving Dynamic Constraint Satisfaction Problems
In this paper, we discuss the adaptability of Coevolutionary Genetic Algorithms on dynamic environments. Our CGA consists of two populations: solution-level one and schema-level o...
Hisashi Handa, Osamu Katai, Tadataka Konishi, Mits...
GECCO
2007
Springer
182views Optimization» more  GECCO 2007»
13 years 12 months ago
Stochastic training of a biologically plausible spino-neuromuscular system model
A primary goal of evolutionary robotics is to create systems that are as robust and adaptive as the human body. Moving toward this goal often involves training control systems tha...
Stanley Phillips Gotshall, Terence Soule