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GECCO
2003
Springer
111views Optimization» more  GECCO 2003»
15 years 12 months ago
An Adaptive Penalty Scheme for Steady-State Genetic Algorithms
A parameter-less adaptive penalty scheme for steady-state genetic algorithms applied to constrained optimization problems is proposed. For each constraint, a penalty parameter is a...
Helio J. C. Barbosa, Afonso C. C. Lemonge
GECCO
2003
Springer
148views Optimization» more  GECCO 2003»
15 years 12 months ago
Structural and Functional Sequence Test of Dynamic and State-Based Software with Evolutionary Algorithms
Evolutionary Testing (ET) has been shown to be very successful for testing real world applications [10]. The original ET approach focusesonsearching for a high coverage of the test...
André Baresel, Hartmut Pohlheim, Sadegh Sad...
GECCO
2003
Springer
15 years 12 months ago
Constrained Multi-objective Optimization Using Steady State Genetic Algorithms
Deepti Chafekar, Jiang Xuan, Khaled Rasheed
SBP
2010
Springer
15 years 11 months ago
State-Dependent Risk Preferences in Evolutionary Games
Abstract. There is much empirical evidence that human decisionmaking under risk does not correspond the decision-theoretic notion of “rational” decision making, namely to make ...
Patrick Roos, Dana S. Nau
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