Sciweavers

CEC
2009
IEEE
14 years 6 months ago
Gradient estimation in global optimization algorithms
Abstract— The role of gradient estimation in global optimization is investigated. The concept of a regional gradient is introduced as a tool for analyzing and comparing different...
Megan Hazen, Maya R. Gupta
CEC
2009
IEEE
14 years 6 months ago
Recombining angles in Differential Evolution
Abstract— In this paper we wish to investigate how optimization problems involving angles can best be handled when using Differential Evolution (DE) as the optimization technique...
Thomas Greve Kristensen
CEC
2009
IEEE
14 years 6 months ago
A multi-objective approach to Redundancy Allocation Problem in parallel-series systems
— The Redundancy Allocation Problem (RAP) is a kind of reliability optimization problems. It involves the selection of components with appropriate levels of redundancy or reliabi...
Zai Wang, Tianshi Chen, Ke Tang, Xin Yao
CEC
2009
IEEE
14 years 6 months ago
Self modifying Cartesian Genetic Programming: Parity
— Self Modifying CGP (SMCGP) is a developmental form of Cartesian Genetic Programming(CGP). It differs from CGP by including primitive functions which modify the program. Beginni...
Simon Harding, Julian Francis Miller, Wolfgang Ban...
CEC
2009
IEEE
14 years 6 months ago
Modeling multi-agent labor market based on co-evolutionary computation and game theory
— In a real-world, labor market consist of employer and employee, and these individuals form relationship through mutual interactions. This paper mainly focuses on development of...
Hee-Taek Kim, Sung-Bae Cho
CEC
2009
IEEE
14 years 6 months ago
Coevolution of language and intentionality sharing
—We conduct an evolutionary simulation to explore the coevolution of language and a language-related ability, intentionality sharing. Our simulation shows that during the evoluti...
Tao Gong, James W. Minett, William S.-Y. Wang
CEC
2009
IEEE
14 years 6 months ago
Robot path planning in uncertain environments based on particle swarm optimization
— We propose a robot path planning method based on particle swarm optimization in an uncertain environment. We consider the case that a robot’s cognition to its environment is ...
Dunwei Gong, Li Lu, Ming Li
CEC
2009
IEEE
14 years 6 months ago
Lamarckian neuroevolution for visual control in the Quake II environment
Abstract— A combination of backpropagation and neuroevolution is used to train a neural network visual controller for agents in the Quake II environment. The agents must learn to...
Matt Parker, Bobby D. Bryant
CEC
2009
IEEE
14 years 6 months ago
Comparing parameter tuning methods for evolutionary algorithms
Abstract— Tuning the parameters of an evolutionary algorithm (EA) to a given problem at hand is essential for good algorithm performance. Optimizing parameter values is, however,...
Selmar K. Smit, A. E. Eiben
CEC
2009
IEEE
14 years 6 months ago
A micro-bacterial foraging algorithm for high-dimensional optimization
- Very recently bacterial foraging has emerged as a powerful technique for solving optimization problems. In this paper, we introduce a micro-bacterial foraging optimization algori...
Sambarta Dasgupta, Arijit Biswas, Swagatam Das, Bi...