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IROS
2006
IEEE
143views Robotics» more  IROS 2006»
15 years 8 months ago
3D Field D: Improved Path Planning and Replanning in Three Dimensions
— We present an interpolation-based planning and replanning algorithm that is able to produce direct, lowcost paths through three-dimensional environments. Our algorithm builds u...
Joseph Carsten, Dave Ferguson, Anthony Stentz
EMO
2005
Springer
123views Optimization» more  EMO 2005»
15 years 8 months ago
Initial Population Construction for Convergence Improvement of MOEAs
Nearly all Multi-Objective Evolutionary Algorithms (MOEA) rely on random generation of initial population. In large and complex search spaces, this random method often leads to an ...
Christian Haubelt, Jürgen Gamenik, Jürge...
157
Voted
AMTA
2004
Springer
15 years 8 months ago
Multi-align: Combining Linguistic and Statistical Techniques to Improve Alignments for Adaptable MT
Abstract. An adaptable statistical or hybrid MT system relies heavily on the quality of word-level alignments of real-world data. Statistical alignment approaches provide a reasona...
Necip Fazil Ayan, Bonnie J. Dorr, Nizar Habash
146
Voted
GECCO
2004
Springer
244views Optimization» more  GECCO 2004»
15 years 8 months ago
Using Clustering Techniques to Improve the Performance of a Multi-objective Particle Swarm Optimizer
In this paper, we present an extension of the heuristic called “particle swarm optimization” (PSO) that is able to deal with multiobjective optimization problems. Our approach ...
Gregorio Toscano Pulido, Carlos A. Coello Coello
122
Voted
GECCO
2004
Springer
142views Optimization» more  GECCO 2004»
15 years 8 months ago
Improving MACS Thanks to a Comparison with 2TBNs
Abstract. Factored Markov Decision Processes is the theoretical framework underlying multi-step Learning Classifier Systems research. This framework is mostly used in the context ...
Olivier Sigaud, Thierry Gourdin, Pierre-Henri Wuil...