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GECCO
2000
Springer
114views Optimization» more  GECCO 2000»
15 years 1 months ago
Intelligent Recombination Using Individual Learning in a Collective Learning Genetic Algorithm
This paper introduces a new collective learning genetic algorithm (CLGA) which employs individual learning to do intelligent recombination based on a cooperative exchange of knowl...
Terry P. Riopka, Peter Bock
FGCS
2006
82views more  FGCS 2006»
14 years 9 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
CSR
2007
Springer
15 years 3 months ago
Maximal Intersection Queries in Randomized Graph Models
Consider a family of sets and a single set, called query set. How can one quickly find a member of the family which has a maximal intersection with the query set? Strict time cons...
Benjamin Hoffmann, Yury Lifshits, Dirk Nowotka
CEC
2007
IEEE
15 years 4 months ago
A fractal representation for real optimization
— The chaos game, in which a moving point is repeatedly averaged toward randomly selected vertices of a triangle, is one method of generating the fractal called the Sierpinski tr...
Daniel A. Ashlock, Justin Schonfeld
KI
2001
Springer
15 years 2 months ago
Constraint-Based Optimization of Priority Schemes for Decoupled Path Planning Techniques
Abstract Coordinating the motion of multiple mobile robots is one of the fundamental problems in robotics. The predominant algorithms for coordinating teams of robots are decoupled...
Maren Bennewitz, Wolfram Burgard, Sebastian Thrun