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GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
16 years 20 days ago
Towards billion-bit optimization via a parallel estimation of distribution algorithm
This paper presents a highly efficient, fully parallelized implementation of the compact genetic algorithm (cGA) to solve very large scale problems with millions to billions of va...
Kumara Sastry, David E. Goldberg, Xavier Llor&agra...
CEC
2009
IEEE
16 years 1 months ago
Examination timetabling using late acceptance hyper-heuristics
— A hyperheuristic is a high level problem solving methodology that performs a search over the space generated by a set of low level heuristics. One of the hyperheuristic framewo...
Ender Özcan, Yuri Bykov, Murat Birben, Edmund...
KI
2001
Springer
15 years 11 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
MICAI
2004
Springer
15 years 12 months ago
A Preprocessing That Combines Heuristic and Surrogate Constraint Analysis to Fix Variables in TSP
A preprocessing procedure that uses a local guided search defined in terms of a neighborhood structure to get a feasible solution (UB) and the Osorio and Glover[18, 20] exploiting ...
María Auxilio Osorio Lama, David Pinto
GECCO
2007
Springer
150views Optimization» more  GECCO 2007»
16 years 20 days ago
Credit assignment in adaptive memetic algorithms
Adaptive Memetic Algorithms couple an evolutionary algorithm with a number of local search heuristics for improving the evolving solutions. They are part of a broad family of meta...
J. E. Smith