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» GAS, A Concept on Modeling Species in Genetic Algorithms
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EC
1998
134views ECommerce» more  EC 1998»
13 years 7 months ago
Schema Theory for Genetic Programming with One-Point Crossover and Point Mutation
In this paper we first review the main results obtained in the theory of schemata in Genetic Programming (GP) emphasising their strengths and weaknesses. Then we propose a new, s...
Riccardo Poli, William B. Langdon
EAAI
2006
123views more  EAAI 2006»
13 years 7 months ago
Applications of artificial intelligence for optimization of compressor scheduling
This paper presents a feasibility study of evolutionary scheduling for gas pipeline operations. The problem is complex because of several constraints that must be taken into consi...
Hanh H. Nguyen, Christine W. Chan
GECCO
2006
Springer
164views Optimization» more  GECCO 2006»
13 years 11 months ago
A fast hybrid genetic algorithm for the quadratic assignment problem
Genetic algorithms (GAs) have recently become very popular by solving combinatorial optimization problems. In this paper, we propose an extension of the hybrid genetic algorithm f...
Alfonsas Misevicius
GECCO
2007
Springer
213views Optimization» more  GECCO 2007»
13 years 11 months ago
Aspects of adaptation in natural and artificial evolution
This work addresses selected aspects of natural evolution, especially of the field of population genetics, that are considered to be meaningful for algorithmic further development...
Michael Affenzeller, Stefan Wagner 0002, Stephan M...
KES
1999
Springer
13 years 11 months ago
Parallel genetic algorithm taxonomy
—Genetic Algorithms (GAs) are powerful search techniques that are used to solve difficult problems in many disciplines. Unfortunately, they can be very demanding in terms of com...
Mariusz Nowostawski, Riccardo Poli