Sciweavers

178 search results - page 10 / 36
» Improving Ant Colony Optimization Algorithms for Solving Tra...
Sort
View
GECCO
2005
Springer
203views Optimization» more  GECCO 2005»
14 years 1 months ago
Ant colony optimization for power plant maintenance scheduling optimization
In order to maintain a reliable and economic electric power supply, the maintenance of power plants is becoming increasingly important. In this paper, a formulation that enables a...
Wai-Kuan Foong, Holger R. Maier, Angus R. Simpson
IJON
2008
177views more  IJON 2008»
13 years 7 months ago
An asynchronous recurrent linear threshold network approach to solving the traveling salesman problem
In this paper, an approach to solving the classical Traveling Salesman Problem (TSP) using a recurrent network of linear threshold (LT) neurons is proposed. It maps the classical ...
Eu Jin Teoh, Kay Chen Tan, H. J. Tang, Cheng Xiang...
EVOW
2011
Springer
12 years 11 months ago
Optimization of the Nested Monte-Carlo Algorithm on the Traveling Salesman Problem with Time Windows
The traveling salesman problem with time windows is known to be a really difficult benchmark for optimization algorithms. In this paper, we are interested in the minimization of th...
Arpad Rimmel, Fabien Teytaud, Tristan Cazenave
CCE
2004
13 years 7 months ago
An algorithmic framework for improving heuristic solutions: Part II. A new version of the stochastic traveling salesman problem
The algorithmic framework developed for improving heuristic solutions of the new version of deterministic TSP [Choi et al., 2002] is extended to the stochastic case. To verify the...
Jaein Choi, Jay H. Lee, Matthew J. Realff
LION
2009
Springer
210views Optimization» more  LION 2009»
14 years 2 months ago
Beam-ACO Based on Stochastic Sampling: A Case Study on the TSP with Time Windows
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...
Manuel López-Ibáñez, Christia...