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GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
16 years 15 days ago
Fitness inheritance for noisy evolutionary multi-objective optimization
This paper compares the performance of anti-noise methods, particularly probabilistic and re-sampling methods, using NSGA2. It then proposes a computationally less expensive appro...
Lam Thu Bui, Hussein A. Abbass, Daryl Essam
161
Voted
EVOW
2004
Springer
16 years 11 days ago
Disjoint Sum of Product Minimization by Evolutionary Algorithms
Recently, an approach has been presented to minimize Disjoint Sumof-Products (DSOPs) based on Binary Decision Diagrams (BDDs). Due to the symbolic representation of cubes for larg...
Nicole Drechsler, Mario Hilgemeier, Görschwin...
GECCO
2004
Springer
259views Optimization» more  GECCO 2004»
16 years 11 days ago
Evaluation of Different Fitness Functions for the Evolutionary Testing of an Autonomous Parking System
The method of evolutionary functional testing allows for the automation of testing by transforming test case design into an optimization problem. To this end it is necessary to def...
Joachim Wegener, Oliver Bühler
182
Voted
GECCO
2003
Springer
120views Optimization» more  GECCO 2003»
16 years 5 days ago
Multi-FPGA Systems Synthesis by Means of Evolutionary Computation
Abstract. Multi-FPGA systems (MFS) are used for a great variety of applications, for instance, dynamically re-configurable hardware applications, digital circuit emulation, and num...
José Ignacio Hidalgo, Francisco Ferná...
218
Voted
GECCO
2003
Springer
112views Optimization» more  GECCO 2003»
16 years 5 days ago
Multi-agent Learning of Heterogeneous Robots by Evolutionary Subsumption
Abstract. Many multi-robot systems are heterogeneous cooperative systems, systems consisting of different species of robots cooperating with each other to achieve a common goal. T...
Hongwei Liu, Hitoshi Iba