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EC
2010
157views ECommerce» more  EC 2010»
15 years 6 months ago
Memetic Algorithms for Continuous Optimisation Based on Local Search Chains
Memetic algorithms with continuous local search methods have arisen as effective tools to address the difficulty of obtaining reliable solutions of high precision for complex cont...
Daniel Molina, Manuel Lozano, Carlos García...
ANOR
2004
79views more  ANOR 2004»
15 years 6 months ago
Preference-Based Search and Multi-Criteria Optimization
Many real-world AI problems (e.g. in configuration) are weakly constrained, thus requiring a mechanism for characterizing and finding the preferred solutions. Preferencebased sear...
Ulrich Junker
COR
2010
166views more  COR 2010»
15 years 6 months ago
Variable neighbourhood decomposition search for 0-1 mixed integer programs
In this paper we propose a new hybrid heuristic for solving 0-1 mixed integer programs based on the principle of variable neighbourhood decomposition search. It combines variable ...
Jasmina Lazic, Saïd Hanafi, Nenad Mladenovic,...
ASIAN
1999
Springer
186views Algorithms» more  ASIAN 1999»
15 years 10 months ago
Ant Colony Optimization for the Ship Berthing Problem
Abstract. Ant Colony Optimization (ACO) is a paradigm that employs a set of cooperating agents to solve functions or obtain good solutions for combinatorial optimization problems. ...
Chia Jim Tong, Hoong Chuin Lau, Andrew Lim
SISAP
2008
IEEE
175views Data Mining» more  SISAP 2008»
16 years 22 days ago
Anytime K-Nearest Neighbor Search for Database Applications
Many contemporary database applications require similarity-based retrieval of complex objects where the only usable knowledge of its domain is determined by a metric distance func...
Weijia Xu, Daniel P. Miranker, Rui Mao, Smriti R. ...