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GECCO
2008
Springer
168views Optimization» more  GECCO 2008»
15 years 8 months ago
Speed-up techniques for solving large-scale bTSP with the Two-Phase Pareto Local Search
We first present a method, called Two-Phase Pareto Local Search, to find a good approximation of the efficient set of the biobjective traveling salesman problem. In the first p...
Thibaut Lust
GECCO
2008
Springer
143views Optimization» more  GECCO 2008»
15 years 8 months ago
Enhanced generalized ant programming (EGAP)
This paper begins by reviewing different methods of automatic programming while emphasizing the technique of Ant Programming (AP). AP uses an ant foraging metaphor in which ants g...
Amirali Salehi-Abari, Tony White
GECCO
2008
Springer
131views Optimization» more  GECCO 2008»
15 years 8 months ago
The study for transportation planning considered the inventory using hybrid genetic algorithm
The transportation planning (TP) is well-known basic network problem. However, for some real-world applications, it is often that the TP model is extended to satisfy other additio...
Shinichiro Ataka, Mitsuo Gen
GECCO
2008
Springer
257views Optimization» more  GECCO 2008»
15 years 8 months ago
Rapid evaluation and evolution of neural models using graphics card hardware
This paper compares three common evolutionary algorithms and our modified GA, a Distributed Adaptive Genetic Algorithm (DAGA). The optimal approach is sought to adapt, in near rea...
Thomas F. Clayton, Leena N. Patel, Gareth Leng, Al...
GECCO
2008
Springer
126views Optimization» more  GECCO 2008»
15 years 8 months ago
Swarm intelligence in e-learning: a learning object sequencing agent based on competencies
In e-learning initiatives content creators are usually required to arrange a set of learning resources in order to present them in a comprehensive way to the learner. Course mater...
Luis de Marcos, José-Javier Martínez...
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