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GECCO
2003
Springer
124views Optimization» more  GECCO 2003»
14 years 3 months ago
ERA: An Algorithm for Reducing the Epistasis of SAT Problems
A novel method, for solving satisfiability (SAT) instances is presented. It is based on two components: a) An Epistasis Reducer Algorithm (ERA) that produces a more suited represe...
Eduardo Rodriguez-Tello, Jose Torres-Jimenez
CEC
2008
IEEE
14 years 4 months ago
A genetic algorithm for optimizing hierarchical menus
— Hierarchical menus are widely used as a standard user interface in modern applications that use GUIs. The performance of the menu depends on many factors: structure, layout, co...
Shouichi Matsui, Seiji Yamada
ICTAI
2000
IEEE
14 years 2 months ago
Constrained genetic algorithms and their applications in nonlinear constrained optimization
This paper presents a problem-independent framework that uni es various mechanisms for solving discrete constrained nonlinear programming (NLP) problems whose functions are not ne...
Benjamin W. Wah, Yixin Chen
AI
1998
Springer
13 years 10 months ago
GAS, A Concept on Modeling Species in Genetic Algorithms
This paper introduces a niching technique called GAS (S stands for species) which dynamically creates a subpopulation structure (taxonomic chart) using a radius function instead of...
Márk Jelasity, József Dombi
WSC
2008
14 years 21 days ago
Simulation optimization for industrial scheduling using hybrid genetic representation
Simulation modeling has the capability to represent complex real-world systems in details and therefore it is suitable to develop simulation models for generating detailed operati...
Marcus Andersson, Amos Ng, Henrik Grimm