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GECCO
2004
Springer
119views Optimization» more  GECCO 2004»
15 years 12 months ago
Randomized Local Search, Evolutionary Algorithms, and the Minimum Spanning Tree Problem
Randomized search heuristics, among them randomized local search and evolutionary algorithms, are applied to problems whose structure is not well understood, as well as to problems...
Frank Neumann, Ingo Wegener
GECCO
2004
Springer
103views Optimization» more  GECCO 2004»
15 years 12 months ago
Robot Trajectory Planning Using Multi-objective Genetic Algorithm Optimization
Generating manipulator trajectories considering multiple objectives and obstacle avoidance is a non trivial optimization problem. In this paper a multiobjective genetic algorithm i...
Eduardo José Solteiro Pires, José An...
ASAP
1997
IEEE
139views Hardware» more  ASAP 1997»
15 years 10 months ago
Buffer size optimization for full-search block matching algorithms
This paper presents how to find optimized buffer size for VLSI architectures of full-search block matching algorithms. Starting from the DG (dependency graph) analysis, we focus i...
Yuan-Hau Yeh, Chen-Yi Lee
CG
2006
Springer
15 years 10 months ago
A Retrograde Approximation Algorithm for One-Player Can't Stop
Abstract. A one-player, finite, probabilistic game with perfect information can be presented as a bipartite graph. For one-player Can't Stop, the graph is cyclic and the chall...
James Glenn, Haw-ren Fang, Clyde P. Kruskal
GECCO
2006
Springer
237views Optimization» more  GECCO 2006»
15 years 10 months ago
Genetic algorithms to optimise the time to make stock market investment
The application of Artificial Intelligence described in this article is intended to resolve the issue of speculation on the stock market. Genetic Algorithms is the technique that ...
David de la Fuente, Alejandro Garrido, Jaime Lavia...