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CEC
2010
IEEE
13 years 8 months ago
Evolutionary multi-objective optimization algorithms with probabilistic representation based on pheromone trails
Abstract-- Recently, the research on quantum-inspired evolutionary algorithms (QEA) has attracted some attention in the area of evolutionary computation. QEA use a probabilistic re...
Hui Li, Dario Landa Silva, Xavier Gandibleux
CORR
2007
Springer
131views Education» more  CORR 2007»
13 years 7 months ago
How to use the Scuba Diving metaphor to solve problem with neutrality ?
Abstract. We proposed a new search heuristic using the scuba diving metaphor. This approach is based on the concept of evolvability and tends to exploit neutrality which exists in ...
Philippe Collard, Sébastien Vérel, M...
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
HM
2005
Springer
140views Optimization» more  HM 2005»
14 years 1 months ago
Fast Ejection Chain Algorithms for Vehicle Routing with Time Windows
Abstract. This paper introduces a new algorithm, based on the concept of ejection chains, to effectively target vehicle routing problems with time window constraints (VRPTW). Ejec...
Herman Sontrop, Pieter van der Horn, Marc Uetz
AAAI
2000
13 years 9 months ago
Depth-First Branch-and-Bound versus Local Search: A Case Study
Depth-first branch-and-bound (DFBnB) is a complete algorithm that is typically used to find optimal solutions of difficult combinatorial optimization problems. It can also be adap...
Weixiong Zhang