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LION
2007
Springer
139views Optimization» more  LION 2007»
14 years 2 months ago
Evolution of Fitness Functions to Improve Heuristic Performance
In this paper we introduce the variable fitness function which can be used to control the search direction of any search based optimisation heuristic where more than one objective ...
Stephen Remde, Peter I. Cowling, Keshav P. Dahal, ...
CORR
2008
Springer
115views Education» more  CORR 2008»
13 years 8 months ago
Approximating Multi-Criteria Max-TSP
Abstract. We present randomized approximation algorithms for multicriteria Max-TSP. For Max-STSP with k > 1 objective functions, we obtain an approximation ratio of 1 k - for a...
Markus Bläser, Bodo Manthey, Oliver Putz
MOR
2006
92views more  MOR 2006»
13 years 7 months ago
Polynomial-Time Separation of a Superclass of Simple Comb Inequalities
The comb inequalities are a well-known class of facet-inducing inequalities for the Traveling Salesman Problem, defined in terms of certain vertex sets called the handle and the t...
Lisa Fleischer, Adam N. Letchford, Andrea Lodi
CCO
2001
Springer
143views Combinatorics» more  CCO 2001»
14 years 12 days ago
TSP Cuts Which Do Not Conform to the Template Paradigm
Abstract. The first computer implementation of the Dantzig-FulkersonJohnson cutting-plane method for solving the traveling salesman problem, written by Martin, used subtour inequa...
David Applegate, Robert E. Bixby, Vasek Chvá...
GECCO
2005
Springer
182views Optimization» more  GECCO 2005»
14 years 1 months ago
Improving EAX with restricted 2-opt
Edge Assembly Crossover (EAX) is by far the most successful crossover operator in solving the traveling salesman problem (TSP) with Genetic Algorithms (GAs). Various improvements ...
Chen-hsiung Chan, Sheng-An Lee, Cheng-Yan Kao, Hua...