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» The State Problem for Evolutionary Testing
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EUROGP
2005
Springer
15 years 3 months ago
Evolving L-Systems to Capture Protein Structure Native Conformations
Abstract. A protein is a linear chain of amino acids that folds into a unique functional structure, called its native state. In this state, proteins show repeated substructures lik...
Gabi Escuela, Gabriela Ochoa, Natalio Krasnogor
ACISICIS
2007
IEEE
15 years 4 months ago
A Hybrid Simulated Annealing with Kempe Chain Neighborhood for the University Timetabling Problem
This paper addresses the problem of finding a feasible solution for the University Course Timetabling Problem (UCTP), i.e. a solution that satisfies all the so-called hard const...
Mauritsius Tuga, Regina Berretta, Alexandre Mendes
GECCO
2007
Springer
185views Optimization» more  GECCO 2007»
15 years 4 months ago
SNDL-MOEA: stored non-domination level MOEA
There exist a number of high-performance Multi-Objective Evolutionary Algorithms (MOEAs) for solving MultiObjective Optimization (MOO) problems; two of the best are NSGA-II and -M...
Matt D. Johnson, Daniel R. Tauritz, Ralph W. Wilke...
ATAL
2010
Springer
14 years 11 months ago
Closing the learning-planning loop with predictive state representations
A central problem in artificial intelligence is to choose actions to maximize reward in a partially observable, uncertain environment. To do so, we must learn an accurate model of ...
Byron Boots, Sajid M. Siddiqi, Geoffrey J. Gordon
GECCO
2009
Springer
156views Optimization» more  GECCO 2009»
15 years 4 months ago
Articulating user preferences in many-objective problems by sampling the weighted hypervolume
The hypervolume indicator has become popular in recent years both for performance assessment and to guide the search of evolutionary multiobjective optimizers. Two critical resear...
Anne Auger, Johannes Bader, Dimo Brockhoff, Eckart...