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» Removing the Genetics from the Standard Genetic Algorithm
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GECCO
2000
Springer
153views Optimization» more  GECCO 2000»
14 years 7 days ago
Applying Genetic Algorithms to Multi-Objective Land Use Planning
This paper explores the application of multiobjective Genetic Algorithms (mGAs) to rural land use planning, a spatial allocation problem. Two mGAs are proposed. Both share an unde...
Keith B. Matthews, Susan Craw, Stewart Elder, Alan...
ATS
2000
IEEE
98views Hardware» more  ATS 2000»
14 years 1 months ago
Embedded core testing using genetic algorithms
Testing of embedded cores is very difficult in SOC (system-on-a-chip), since the core user may not know the gate level implementation of the core, and the controllability and obse...
Ruofan Xu, Michael S. Hsiao
CPHYSICS
2006
127views more  CPHYSICS 2006»
13 years 8 months ago
GenAnneal: Genetically modified Simulated Annealing
A modification of the standard Simulated Annealing (SA) algorithm is presented for finding the global minimum of a continuous multidimensional, multimodal function. We report resu...
Ioannis G. Tsoulos, Isaac E. Lagaris
NCI
2003
107views Neural Networks» more  NCI 2003»
13 years 10 months ago
Sexual Selection with Competitive/Co-operative Operators for Genetic Algorithms
In a standard genetic algorithm (GA), individuals reproduce asexually: any two organisms may be parents in crossover. Gender separation and sexual selection here inspire a model o...
Jose Sánchez-Velazco, John A. Bullinaria
CORR
1998
Springer
164views Education» more  CORR 1998»
13 years 8 months ago
Training Reinforcement Neurocontrollers Using the Polytope Algorithm
A new training algorithm is presented for delayed reinforcement learning problems that does not assume the existence of a critic model and employs the polytope optimization algorit...
Aristidis Likas, Isaac E. Lagaris