Sciweavers

SAC
2005
ACM
14 years 5 months ago
A multi-agent approach for solving optimization problems involving expensive resources
In this paper, we propose a multi-agent approach for solving a class of optimization problems involving expensive resources, where monolithic local search schemes perform miserabl...
Hoong Chuin Lau, Hui Wang
ICPPW
2005
IEEE
14 years 5 months ago
A Niche for Parallel Island Models: Outliers and Local Search
This paper reports on the development of a novel island model for evolutionary algorithms, which is intrinsically parallel and intended to better utilise resources and outlier sol...
Steven Gustafson, Edmund K. Burke
CEC
2005
IEEE
14 years 5 months ago
Adaptive local search parameters for real-coded memetic algorithms
AbstractThis paper presents a real-coded memetic algorithm that combines a high diversity global exploration with an adaptive local search method to the most promising individuals ...
Daniel Molina, Francisco Herrera, Manuel Lozano
ACG
2006
Springer
14 years 5 months ago
Recognizing Seki in Computer Go
Seki is a situation of coexistence in the game of Go, where neither player can profitably capture the opponent’s stones. This paper presents a new method for deciding whether an...
Xiaozhen Niu, Akihiro Kishimoto, Martin Mülle...
SLS
2007
Springer
111views Algorithms» more  SLS 2007»
14 years 5 months ago
Mixed Models for the Analysis of Local Search Components
We consider a possible scenario of experimental analysis on heuristics for optimization: identifying the contribution of local search components when algorithms are evaluated on th...
Jørgen Bang-Jensen, Marco Chiarandini, Yuri...
PPAM
2007
Springer
14 years 5 months ago
Alea - Grid Scheduling Simulation Environment
This work concentrates on the design of a system intended for study of advanced scheduling techniques for planning various types of jobs in a Grid environment. The solution is able...
Dalibor Klusácek, Ludek Matyska, Hana Rudov...
LION
2007
Springer
192views Optimization» more  LION 2007»
14 years 5 months ago
Learning While Optimizing an Unknown Fitness Surface
This paper is about Reinforcement Learning (RL) applied to online parameter tuning in Stochastic Local Search (SLS) methods. In particular a novel application of RL is considered i...
Roberto Battiti, Mauro Brunato, Paolo Campigotto
IWINAC
2007
Springer
14 years 5 months ago
Tackling the Error Correcting Code Problem Via the Cooperation of Local-Search-Based Agents
We consider the problem of designing error correcting codes (ECC), a hard combinatorial optimization problem of relevance in the field of telecommunications. This problem is firs...
Jhon Edgar Amaya, Carlos Cotta, Antonio J. Fern&aa...
GECCO
2007
Springer
160views Optimization» more  GECCO 2007»
14 years 5 months ago
Quick-and-dirty ant colony optimization
Ant colony optimization (ACO) is a well known metaheuristic. In the literature it has been used for tackling many optimization problems. Often, ACO is hybridized with a local sear...
Paola Pellegrini, Elena Moretti
GECCO
2007
Springer
150views Optimization» more  GECCO 2007»
14 years 5 months ago
Credit assignment in adaptive memetic algorithms
Adaptive Memetic Algorithms couple an evolutionary algorithm with a number of local search heuristics for improving the evolving solutions. They are part of a broad family of meta...
J. E. Smith