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PPSN
2000
Springer
15 years 1 months ago
Optimizing through Co-evolutionary Avalanches
Abstract. We explore a new general-purpose heuristic for nding highquality solutions to hard optimization problems. The method, called extremal optimization, is inspired by self-or...
Stefan Boettcher, Allon G. Percus, Michelangelo Gr...
77
Voted
FGCS
2000
83views more  FGCS 2000»
14 years 9 months ago
A Graph-based Ant System and its convergence
: A general framework for solving combinatorial optimization problems heuristically by the Ant System approach is developed. The framework is based on the concept of a construction...
Walter J. Gutjahr
EVOW
2008
Springer
14 years 11 months ago
Improving Metaheuristic Performance by Evolving a Variable Fitness Function
In this paper we study a complex real world workforce scheduling problem. We apply constructive search and variable neighbourhood search (VNS) metaheuristics and enhance these meth...
Keshav P. Dahal, Stephen Remde, Peter I. Cowling, ...
COR
2008
95views more  COR 2008»
14 years 9 months ago
Good triangulations yield good tours
Consider the following heuristic for planar Euclidean instances of the Traveling Salesman Problem (TSP): select a subset of the edges which induces a planar graph, and solve eithe...
Adam N. Letchford, Nicholas A. Pearson
CEC
2011
IEEE
13 years 9 months ago
Cost-benefit analysis of using heuristics in ACGP
—Constrained Genetic Programming (CGP) is a method of searching the Genetic Programming search space non-uniformly, giving preferences to certain subspaces according to some heur...
John W. Aleshunas, Cezary Z. Janikow