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AIPS
1998
15 years 7 months ago
How to Solve It Automatically: Selection Among Problem Solving Methods
The choice of an appropriate problem-solving method, from available methods, is a crucial skill for experts in many areas. We describe a technique for the automatic selection amon...
Eugene Fink
AMC
2005
136views more  AMC 2005»
15 years 6 months ago
Solving a dynamic cell formation problem using metaheuristics
In this paper, solving a cell formation (CF) problem in dynamic condition is going to be discussed by using some traditional metaheuristic methods such as genetic algorithm (GA), ...
Reza Tavakkoli-Moghaddam, M. B. Aryanezhad, Nima S...
GECCO
2004
Springer
101views Optimization» more  GECCO 2004»
15 years 11 months ago
A Novel Multi-objective Orthogonal Simulated Annealing Algorithm for Solving Multi-objective Optimization Problems with a Large
In this paper, a novel multi-objective orthogonal simulated annealing algorithm MOOSA using a generalized Pareto-based scale-independent fitness function and multi-objective intell...
Li-Sun Shu, Shinn-Jang Ho, Shinn-Ying Ho, Jian-Hun...
JUCS
2008
159views more  JUCS 2008»
15 years 6 months ago
Two Step Swarm Intelligence to Solve the Feature Selection Problem
: In this paper we propose a new approach to Swarm Intelligence called Two-Step Swarm Intelligence. The basic idea is to split the heuristic search performed by agents into two sta...
Yudel Gómez, Rafael Bello, Amilkar Puris, M...
CORR
2008
Springer
126views Education» more  CORR 2008»
15 years 6 months ago
Path following algorithm for the graph matching problem
We propose a convex-concave programming approach for the labeled weighted graph matching problem. The convex-concave programming formulation is obtained by rewriting the weighted ...
Mikhail Zaslavskiy, Francis Bach, Jean-Philippe Ve...