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IPL
2000
146views more  IPL 2000»
13 years 7 months ago
Better approximations for max TSP
We combine two known polynomial time approximation algorithms for the maximum traveling salesman problem to obtain a randomized algorithm which outputs a solution with expected va...
Refael Hassin, Shlomi Rubinstein
GECCO
2007
Springer
183views Optimization» more  GECCO 2007»
14 years 1 months ago
A genetic algorithm for privacy preserving combinatorial optimization
We propose a protocol for a local search and a genetic algorithm for the distributed traveling salesman problem (TSP). In the distributed TSP, information regarding the cost funct...
Jun Sakuma, Shigenobu Kobayashi
CEC
2003
IEEE
14 years 24 days ago
Adaptive temperature schedule determined by genetic algorithm for parallel simulated annealing
Abstract- Simulated annealing (SA) is an effective general heuristic method for solving many combinatorial optimization problems. This paper deals with two problems in SA. One is ...
Mitsunori Miki, Tomoyuki Hiroyasu, Jun'ya Wako, Ta...
CSC
2009
13 years 8 months ago
An Empirical Analysis of Approximation Algorithms for Euclidean TSP
- The Traveling Salesman Problem (TSP) is perhaps the most famous optimization problem in the set NP-hard. Many problems that are natural applications in computer science and engin...
Bárbara Rodeker, M. Virginia Cifuentes, Lil...
CORR
2011
Springer
239views Education» more  CORR 2011»
12 years 11 months ago
Multi-objective Optimization For The Dynamic Multi-Pickup and Delivery Problem with Time Windows
: The PDPTW is an optimization vehicles routing problem which must meet requests for transport between suppliers and customers satisfying precedence, capacity and time constraints....
Imen Harbaoui Dridi, Ryan Kammarti, Pierre Borne, ...