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GECCO
2005
Springer
101views Optimization» more  GECCO 2005»
12 years 1 months ago
Measuring mobility and the performance of global search algorithms
The global search properties of heuristic search algorithms are not well understood. In this paper, we introduce a new metric, mobility, that quantifies the dispersion of local o...
Monte Lunacek, L. Darrell Whitley, James N. Knight
CONSTRAINTS
2007
83views more  CONSTRAINTS 2007»
11 years 8 months ago
Generic Incremental Algorithms for Local Search
When a new (global) constraint is introduced in local search, measures for the penalty and variable conflicts of that constraint must be defined, and incremental algorithms for m...
Magnus Ågren, Pierre Flener, Justin Pearson
ICRA
2003
IEEE
147views Robotics» more  ICRA 2003»
12 years 1 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
ESCIENCE
2007
IEEE
12 years 4 days ago
Grid-Enabling an Efficient Algorithm for Demanding Global Optimization Problems in Genetic Analysis
Abstract. We study the implementation on grid systems of an efficient algorithm for demanding global optimization problems. Specifically, we consider problems arising in the geneti...
Mahen Jayawardena, Sverker Holmgren
GECCO
2011
Springer
264views Optimization» more  GECCO 2011»
10 years 11 months ago
Critical factors in the performance of novelty search
Novelty search is a recently proposed method for evolutionary computation designed to avoid the problem of deception, in which the fitness function guides the search process away...
Steijn Kistemaker, Shimon Whiteson
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