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GECCO
2008
Springer
116views Optimization» more  GECCO 2008»
13 years 5 months ago
A novel methodology for diversity preservation in evolutionary algorithms
In this paper we describe an improvement of an entropy-based diversity preservation approach for evolutionary algorithms. This approach exploits the information contained not only...
Giovanni Squillero, Alberto Paolo Tonda
GECCO
2008
Springer
156views Optimization» more  GECCO 2008»
13 years 5 months ago
Computing minimum cuts by randomized search heuristics
We study the minimum s-t-cut problem in graphs with costs on the edges in the context of evolutionary algorithms. Minimum cut problems belong to the class of basic network optimiz...
Frank Neumann, Joachim Reichel, Martin Skutella
GECCO
2008
Springer
165views Optimization» more  GECCO 2008»
13 years 5 months ago
Dual-population genetic algorithm for nonstationary optimization
In order to solve nonstationary optimization problems efficiently, evolutionary algorithms need sufficient diversity to adapt to environmental changes. The dual-population genetic...
Taejin Park, Ri Choe, Kwang Ryel Ryu
GECCO
2008
Springer
257views Optimization» more  GECCO 2008»
13 years 5 months ago
Rapid evaluation and evolution of neural models using graphics card hardware
This paper compares three common evolutionary algorithms and our modified GA, a Distributed Adaptive Genetic Algorithm (DAGA). The optimal approach is sought to adapt, in near rea...
Thomas F. Clayton, Leena N. Patel, Gareth Leng, Al...
GECCO
2008
Springer
168views Optimization» more  GECCO 2008»
13 years 5 months ago
A multi-start quantum-inspired evolutionary algorithm for solving combinatorial optimization problems
Quantum-inspired evolutionary algorithms (QIEAs), as a subset of evolutionary computation, are based on the principles of quantum computing such as quantum bits and quantum superp...
Parvaz Mahdabi, Saeed Jalili, Mahdi Abadi
GECCO
2008
Springer
143views Optimization» more  GECCO 2008»
13 years 5 months ago
Application domain study of evolutionary algorithms in optimization problems
This paper deals with the problem of comparing and testing evolutionary algorithms, that is, the benchmarking problem, from an analysis point of view. A practical study of the app...
Pilar Caamaño, Francisco Bellas, José...
GECCO
2008
Springer
147views Optimization» more  GECCO 2008»
13 years 5 months ago
On selecting the best individual in noisy environments
In evolutionary algorithms, the typical post-processing phase involves selection of the best-of-run individual, which becomes the final outcome of the evolutionary run. Trivial f...
Wojciech Jaskowski, Wojciech Kotlowski
GECCO
2008
Springer
135views Optimization» more  GECCO 2008»
13 years 5 months ago
Agent-based support for interactive search in conceptual software engineering design
While recent attempts to search a conceptual software engineering design search space with multi-objective evolutionary algorithms have yielded promising results, the practical ap...
Christopher L. Simons, Ian C. Parmee
GECCO
2008
Springer
137views Optimization» more  GECCO 2008»
13 years 5 months ago
Evolutionary path planner for UAVs in realistic environments
This paper presents a path planner for Unmanned Air Vehicles (UAVs) based on Evolutionary Algorithms (EA) that can be used in realistic risky scenarios. The path returned by the a...
Jesús Manuel de la Cruz, Eva Besada-Portas,...
CEC
2010
IEEE
13 years 5 months ago
Evolutionary multi-objective optimization algorithms with probabilistic representation based on pheromone trails
Abstract-- Recently, the research on quantum-inspired evolutionary algorithms (QEA) has attracted some attention in the area of evolutionary computation. QEA use a probabilistic re...
Hui Li, Dario Landa Silva, Xavier Gandibleux