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CIG
2005
IEEE
14 years 1 months ago
Case-Injection Improves Response Time for a Real-Time Strategy Game
We present a case-injected genetic algorithm player for Strike Ops, a real-time strategy game. Such strategy games are fundamentally resource allocation optimization problems and o...
Chris Miles, Sushil J. Louis
GECCO
2003
Springer
118views Optimization» more  GECCO 2003»
14 years 28 days ago
Distributed Probabilistic Model-Building Genetic Algorithm
In this paper, a new model of Probabilistic Model-Building Genetic Algorithms (PMBGAs), Distributed PMBGA (DPMBGA), is proposed. In the DPMBGA, the correlation among the design var...
Tomoyuki Hiroyasu, Mitsunori Miki, Masaki Sano, Hi...
GECCO
2006
Springer
150views Optimization» more  GECCO 2006»
13 years 11 months ago
Nonlinear parametric regression in genetic programming
Genetic programming has been considered a promising approach for function approximation since it is possible to optimize both the functional form and the coefficients. However, it...
Yung-Keun Kwon, Sung-Soon Choi, Byung Ro Moon
GECCO
2006
Springer
190views Optimization» more  GECCO 2006»
13 years 11 months ago
Effective genetic approach for optimizing advanced planning and scheduling in flexible manufacturing system
In this paper, a novel approach for designing chromosome has been proposed to improve the effectiveness, which called multistage operation-based genetic algorithm (moGA). The obje...
Haipeng Zhang, Mitsuo Gen
FGCS
2006
82views more  FGCS 2006»
13 years 7 months ago
PGGA: A predictable and grouped genetic algorithm for job scheduling
This paper presents a predictable and grouped genetic algorithm (PGGA) for job scheduling. The novelty of the PGGA is twofold: (1) a job workload estimati...
Maozhen Li, Bin Yu, Man Qi