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» An exploration of ranking heuristics in mobile local search
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PPL
2010
117views more  PPL 2010»
15 years 25 days ago
Neighborhood Structures for GPU-Based Local Search Algorithms
Local search (LS) algorithms are among the most powerful techniques for solving computationally hard problems in combinatorial optimization. These algorithms could be viewed as &q...
Thé Van Luong, Nouredine Melab, El-Ghazali ...
ICRA
2003
IEEE
147views Robotics» more  ICRA 2003»
15 years 11 months ago
A genetic algorithm for simultaneous localization and mapping
— This paper addresses the problem of simultaneous localization and mapping (SLAM) by a mobile robot. The SLAM problem is defined as a global optimization problem in which the o...
Tom Duckett
ICRA
2002
IEEE
188views Robotics» more  ICRA 2002»
15 years 11 months ago
Hybrid Mobile Robot Localization using Switching State-Space Models
—This article describes a rigorous and complete framework for the simultaneous localization and map building problem for mobile robots: the symmetries and perturbations map (SPma...
Haris Baltzakis, Panos E. Trahanias
133
Voted
WWW
2008
ACM
16 years 6 months ago
Information "uptrieval": exploring models for content assimilation and aggregation for developing regions
Information Retrieval on the WWW is important because it is hard to find what one is looking for. There is a plethora of information available, and searching relevant information ...
Sheetal K. Agarwal, Arun Kumar, Sougata Mukherjea,...
GECCO
2009
Springer
146views Optimization» more  GECCO 2009»
16 years 19 days ago
Analyzing the landscape of a graph based hyper-heuristic for timetabling problems
Hyper-heuristics can be thought of as “heuristics to choose heuristics”. They are concerned with adaptively finding solution methods, rather than directly producing a solutio...
Gabriela Ochoa, Rong Qu, Edmund K. Burke