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» A Genetic Algorithm Applied to the Maximum Flow Problem
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EMO
2001
Springer
109views Optimization» more  EMO 2001»
14 years 1 days ago
Specification of Genetic Search Directions in Cellular Multi-objective Genetic Algorithms
When we try to implement a multi-objective genetic algorithm (MOGA) with variable weights for finding a set of Pareto optimal solutions, one difficulty lies in determining appropri...
Tadahiko Murata, Hisao Ishibuchi, Mitsuo Gen
ICRA
2006
IEEE
83views Robotics» more  ICRA 2006»
14 years 1 months ago
Torque Pattern Generation towards the Maximum Jump Height
— This paper discusses jumping pattern generation for a serial link robot in order to maximize its jump height under torque limitation. By applying a genetic algorithm (GA) for d...
Mitsuru Higashimori, Manabu Harada, Idaku Ishii, M...
IFIP
2004
Springer
14 years 27 days ago
Solving Geometrical Place Problems by using Evolutionary Algorithms
Geometrical place can be sometimes difficult to find by applying mathematical methods. Evolutionary algorithms deal with a population of solutions. This population (initially ran...
Crina Grosan
ICNSC
2008
IEEE
14 years 2 months ago
Multiple Sequence Alignment Based on Genetic Algorithms with Reserve Selection
— This paper presents an approach to the multiple sequence alignment (MSA) problem by applying genetic algorithms with a reserve selection mechanism. MSA is one of the most funda...
Yang Chen, Jinglu Hu, Kotaro Hirasawa, Songnian Yu
GECCO
2007
Springer
234views Optimization» more  GECCO 2007»
14 years 1 months ago
Applying particle swarm optimization to software testing
Evolutionary structural testing is an approach to automatically generating test cases that achieve high structural code coverage. It typically uses genetic algorithms (GAs) to sea...
Andreas Windisch, Stefan Wappler, Joachim Wegener