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GECCO
2005
Springer
120views Optimization» more  GECCO 2005»
15 years 10 months ago
Exploiting gradient information in numerical multi--objective evolutionary optimization
Various multi–objective evolutionary algorithms (MOEAs) have obtained promising results on various numerical multi– objective optimization problems. The combination with gradi...
Peter A. N. Bosman, Edwin D. de Jong
GECCO
2000
Springer
141views Optimization» more  GECCO 2000»
15 years 8 months ago
A steady-state evolutionary algorithm for the job shop problem
This paper describes an evolutionary search scheduling algorithm (ESSA) for the job shop scheduling problem (JSSP). If no specific knowledge of the problem is included in the EA t...
Patrick van Bael, Dirk Devogelaere, Marcel Rijckae...
GECCO
2006
Springer
123views Optimization» more  GECCO 2006»
15 years 8 months ago
Real-time construction of aircraft landing schedules using an evolutionary algorithm
This poster investigates the use of Evolutionary Algorithms (EAs) to optimise solutions to the Dynamic Aircraft Landing Problem (DALP). The approach adopted here uses an EA to evo...
Neil Urquhart
158
Voted
CORR
2010
Springer
175views Education» more  CORR 2010»
15 years 1 months ago
Improving the Performance of maxRPC
Max Restricted Path Consistency (maxRPC) is a local consistency for binary constraints that can achieve considerably stronger pruning than arc consistency. However, existing maxRPC...
Thanasis Balafoutis, Anastasia Paparrizou, Kostas ...
ICRA
2005
IEEE
174views Robotics» more  ICRA 2005»
15 years 10 months ago
Fast Implementation of Lemke's Algorithm for Rigid Body Contact Simulation
— We present a fast method for solving rigid body contact problems with friction, based on optimizations incorporated into Lemke’s algorithm for solving linear complementarity ...
John E. Lloyd