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GECCO
2010
Springer
158views Optimization» more  GECCO 2010»
14 years 1 days ago
Efficiently evolving programs through the search for novelty
A significant challenge in genetic programming is premature convergence to local optima, which often prevents evolution from solving problems. This paper introduces to genetic pro...
Joel Lehman, Kenneth O. Stanley
EVOW
2007
Springer
14 years 18 days ago
An Evolutionary Approach to Computer-Aided Orchestration
In this paper we introduce an hybrid evolutionary algorithm for computer-aided orchestration. Our current approach to orchestration consists in replicating a target sound with a se...
Grégoire Carpentier, Damien Tardieu, G&eacu...
FLAIRS
2004
13 years 10 months ago
Concurrent Backtrack Search on DisCSPs
A distributed search algorithm for solving distributed constraint satisfaction problems (DisCSPs) is presented. The proposed algorithm is composed of multiple search processes (SP...
Roie Zivan, Amnon Meisels
GECCO
2006
Springer
122views Optimization» more  GECCO 2006»
14 years 11 days ago
Genetic algorithms are suitable for driving microbial ecosystems in desirable directions
The behavior of natural, biological ecosystems is for a large part determined by environmental conditions. It should therefore be possible to experimentally manipulate such condit...
Frederik P. J. Vandecasteele, Thomas F. Hess, Rona...
IJCAI
2007
13 years 10 months ago
Adaptive Genetic Algorithm with Mutation and Crossover Matrices
A matrix formulation for an adaptive genetic algorithm is developed using mutation matrix and crossover matrix. Selection, mutation, and crossover are all parameter-free in the se...
Nga Lam Law, Kwok Yip Szeto