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ICRA
2006
IEEE
134views Robotics» more  ICRA 2006»
16 years 18 days ago
Multiresolution Approach for Motion Planning under Differential Constraints
Abstract— In this paper, we present an incremental, multiresolution motion planning algorithm designed for systems with differential constraints. Planning for these sytems is mor...
Stephen R. Lindemann, Steven M. LaValle
GECCO
2005
Springer
153views Optimization» more  GECCO 2005»
16 years 2 days ago
Finding needles in haystacks is harder with neutrality
This research presents an analysis of the reported successes of the Cartesian Genetic Programming method on a simplified form of the Boolean parity problem. We show the method of...
M. Collins
HAIS
2009
Springer
15 years 11 months ago
Automatic Clustering Using a Synergy of Genetic Algorithm and Multi-objective Differential Evolution
— This paper applies the Differential Evolution (DE) and Genetic Algorithm (GA) to the task of automatic fuzzy clustering in a Multi-objective Optimization (MO) framework. It com...
Debarati Kundu, Kaushik Suresh, Sayan Ghosh, Swaga...
HM
2007
Springer
137views Optimization» more  HM 2007»
16 years 22 days ago
A Hybrid VNS for Connected Facility Location
The connected facility location (ConFL) problem generalizes the facility location problem and the Steiner tree problem in graphs. Given a graph G = (V, E), a set of customers D ⊆...
Ivana Ljubic
CORR
2010
Springer
427views Education» more  CORR 2010»
15 years 4 months ago
A Comparison between Memetic algorithm and Genetic algorithm for the cryptanalysis of Simplified Data Encryption Standard algori
Genetic algorithms are a population-based Meta heuristics. They have been successfully applied to many optimization problems. However, premature convergence is an inherent charact...
Poonam Garg