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GECCO
2005
Springer
158views Optimization» more  GECCO 2005»
15 years 6 months ago
Transition models as an incremental approach for problem solving in evolutionary algorithms
This paper proposes an incremental approach for building solutions using evolutionary computation. It presents a simple evolutionary model called a Transition model in which parti...
Anne Defaweux, Tom Lenaerts, Jano I. van Hemert, J...
ECAI
2000
Springer
15 years 4 months ago
Solving Permutation Constraint Satisfaction Problems with Artificial Ants
Abstract. We describe in this paper Ant-P-solver, a generic constraint solver based on the Ant Colony Optimization (ACO) metaheuristic. The ACO metaheuristic takes inspiration on t...
Christine Solnon
110
Voted
AIR
2004
134views more  AIR 2004»
15 years 20 days ago
Combining Meta-Heuristics to Effectively Solve the Vehicle Routing Problems with Time Windows
The vehicle routing problems with time windows are challenging delivery problems in which instances involving 100 customers or more can be difficult to solve. There were many inter...
Vincent Tam, Keng Teck Ma
EUROCAST
2009
Springer
185views Hardware» more  EUROCAST 2009»
15 years 7 months ago
Solving the Euclidean Bounded Diameter Minimum Spanning Tree Problem by Clustering-Based (Meta-)Heuristics
The bounded diameter minimum spanning tree problem is an NP-hard combinatorial optimization problem arising in particular in network design. There exist various exact and metaheuri...
Martin Gruber, Günther R. Raidl
107
Voted
COGSR
2010
116views more  COGSR 2010»
14 years 7 months ago
On the cognitive process of human problem solving
act 11 One of the fundamental human cognitive processes is problem solving. As a higher-layer cognitive process, problem solving interacts many other cognitive processes such as ab...
Yingxu Wang, Vincent Chiew