36 search results - page 5 / 8 » Bee Colony Optimization with Local Search for Traveling Sale... |
ANTSW
2010
Springer
13 years 5 months ago
2010
Springer
Abstract. In this paper, a Cooperative Network Game (CNG) is introduced. In this game, all players have the same goal: display a video content in real time, with no cuts and low bu...
GECCO
2007
Springer
14 years 1 months ago
2007
Springer
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...
GECCO
2008
Springer
13 years 8 months ago
2008
Springer
This paper merges hierarchical reinforcement learning (HRL) with ant colony optimization (ACO) to produce a HRL ACO algorithm capable of generating solutions for large domains. Th...
CEC
2010
IEEE
13 years 8 months ago
2010
IEEE
Based on the Proximate Optimality Principle in metaheuristics, a Population Based Guided Local Search (PGLS) framework for dealing with difficult combinatorial optimization problem...
LION
2009
Springer
14 years 2 months ago
2009
Springer
Beam-ACO algorithms are hybrid methods that combine the metaheuristic ant colony optimization with beam search. They heavily rely on accurate and computationally inexpensive boundi...