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GECCO
2004
Springer
15 years 9 months ago
Dynamic Uniform Scaling for Multiobjective Genetic Algorithms
Before Multiobjective EvolutionaryAlgorithms (MOEAs) can be used as a widespread tool for solving arbitrary real world problems there are some salient issues which require further ...
Gerulf K. M. Pedersen, David E. Goldberg
177
Voted
SOCO
2010
Springer
15 years 2 months ago
Automatic detection of trends in time-stamped sequences: an evolutionary approach
This paper presents an evolutionary algorithm for modeling the arrival dates in time-stamped data sequences such as newscasts, e-mails, IRC conversations, scientific journal artic...
Lourdes Araujo, Juan Julián Merelo Guerv&oa...
GECCO
2003
Springer
156views Optimization» more  GECCO 2003»
15 years 9 months ago
Facts and Fallacies in Using Genetic Algorithms for Learning Clauses in First-Order Logic
Over the last few years, a few approaches have been proposed aiming to combine genetic and evolutionary computation (GECCO) with inductive logic programming (ILP). The underlying r...
Flaviu Adrian Marginean
134
Voted
CEC
2007
IEEE
15 years 10 months ago
An efficient Genetic Algorithm with uniform crossover for the multi-objective Airport Gate Assignment Problem
—Genetic Algorithms (GAs) have a good potential of solving the Gate Assignment Problem (GAP) at airport terminals, and the design of feasible and efficient evolutionary operators...
Xiao-Bing Hu, Ezequiel A. Di Paolo
GAMEON
2008
15 years 5 months ago
Generating Emergent Team Strategies in Football Simulation Videogames via Genetic Algorithms
This paper defends the use of evolutionary algorithms to generate (and evolve) strategies that manage the behavior of a team in simulated football videogames. The chosen framework...
Antonio J. Fernández, Carlos Cotta, Rafael ...