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ESWA
2010
175views more  ESWA 2010»
14 years 10 months ago
A multi-objective PSO for job-shop scheduling problems
Most previous research into the job-shop scheduling problem has concentrated on finding a single optimal solution (e.g., makespan), even though the actual requirement of most prod...
D. Y. Sha, Hsing-Hung Lin
CEC
2007
IEEE
15 years 3 months ago
Solving, rating and generating Sudoku puzzles with GA
This paper studies the problems involved in solving, rating and generating Sudoku puzzles with genetic algorithms (GA). Sudoku is a number puzzle that has recently become a worldwi...
Timo Mantere, Janne Koljonen
ATAL
2006
Springer
15 years 3 months ago
Solving POMDPs using quadratically constrained linear programs
Developing scalable algorithms for solving partially observable Markov decision processes (POMDPs) is an important challenge. One promising approach is based on representing POMDP...
Christopher Amato, Daniel S. Bernstein, Shlomo Zil...
GECCO
2007
Springer
289views Optimization» more  GECCO 2007»
15 years 6 months ago
A discrete particle swarm optimization algorithm for the generalized traveling salesman problem
Dividing the set of nodes into clusters in the well-known traveling salesman problem results in the generalized traveling salesman problem which seeking a tour with minimum cost p...
Mehmet Fatih Tasgetiren, Ponnuthurai N. Suganthan,...
GECCO
2007
Springer
182views Optimization» more  GECCO 2007»
15 years 6 months ago
An analysis of the effects of population structure on scalable multiobjective optimization problems
Multiobjective evolutionary algorithms (MOEA) are an effective tool for solving search and optimization problems containing several incommensurable and possibly conflicting objec...
Michael Kirley, Robert L. Stewart