Sciweavers

EMO
2005
Springer
110views Optimization» more  EMO 2005»
13 years 10 months ago
Parallelization of Multi-objective Evolutionary Algorithms Using Clustering Algorithms
Abstract. While Single-Objective Evolutionary Algorithms (EAs) parallelization schemes are both well established and easy to implement, this is not the case for Multi-Objective Evo...
Felix Streichert, Holger Ulmer, Andreas Zell
VL
2005
IEEE
103views Visual Languages» more  VL 2005»
13 years 10 months ago
EAVis: A Visualization Tool for Evolutionary Algorithms
Evolutionary algorithms (EAs) produce a vast amount of data by recurring processes, e.g., selection, recombination, or mutation, that work on populations of solutions for a speciï...
Andreas Kerren, Thomas Egger
CIG
2005
IEEE
13 years 10 months ago
Co-evolutionary Strategies for an Alternating-Offer Bargaining Problem
Abstract- In this paper, we apply an Evolutionary Algorithm (EA) to solve the Rubinstein’s Basic AlternatingOffer Bargaining Problem, and compare our experimental results with it...
Nanlin Jin, Edward P. K. Tsang
ASAP
2005
IEEE
108views Hardware» more  ASAP 2005»
13 years 10 months ago
Using Symbolic Feasibility Tests during Design Space Exploration of Heterogeneous Multi-Processor Systems
The task of automatic design space exploration of heterogeneous multi-processor systems is often tackled with Evolutionary Algorithms. In this paper, we propose a novel approach i...
Thomas Schlichter, Christian Haubelt, Frank Hannig...
PPAM
2007
Springer
13 years 11 months ago
A Cost-Benefit-Based Adaptation Scheme for Multimeme Algorithms
Abstract. Memetic Algorithms are the most frequently used hybrid of Evolutionary Algorithms (EA) for real-world applications. This paper will deal with one of the most important ob...
Wilfried Jakob
ICIC
2007
Springer
13 years 11 months ago
On the Convergence Properties of Quantum-Inspired Multi-Objective Evolutionary Algorithms
Abstract. In this paper, a general framework of quantum-inspired multiobjective evolutionary algorithms is proposed based on the basic principles of quantum computing and general s...
Zhiyong Li, Zhe Li, Günter Rudolph
GECCO
2007
Springer
532views Optimization» more  GECCO 2007»
13 years 11 months ago
Evolving evolutionary algorithms using evolutionary algorithms
A new model for automatic generation of Evolutionary Algorithms (EAs) by evolutionary means is proposed in this paper. The model is based on a simple Genetic Algorithm (GA). Every...
Laura Diosan, Mihai Oltean
GECCO
2007
Springer
154views Optimization» more  GECCO 2007»
13 years 11 months ago
A multi-objective approach to search-based test data generation
There has been a considerable body of work on search–based test data generation for branch coverage. However, hitherto, there has been no work on multi–objective branch covera...
Kiran Lakhotia, Mark Harman, Phil McMinn
GECCO
2007
Springer
177views Optimization» more  GECCO 2007»
13 years 11 months ago
Evolutionary algorithms and matroid optimization problems
We analyze the performance of evolutionary algorithms on various matroid optimization problems that encompass a vast number of efficiently solvable as well as NP-hard combinatoria...
Joachim Reichel, Martin Skutella
GECCO
2007
Springer
269views Optimization» more  GECCO 2007»
13 years 11 months ago
Automated red teaming: a proposed framework for military application
In this paper, we describe Automated Red Teaming (ART), a concept that uses Evolutionary Algorithm (EA), Parallel Computing and Simulation to complement the manual Red Teaming eff...
Chwee Seng Choo, Ching Lian Chua, Su-Han Victor Ta...