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AAAI
2006
14 years 11 months ago
A New Approach to Estimating the Expected First Hitting Time of Evolutionary Algorithms
The expected first hitting time is an important issue in theoretical analyses of evolutionary algorithms since it implies the average computational time complexity. In this paper,...
Yang Yu, Zhi-Hua Zhou
GECCO
2008
Springer
168views Optimization» more  GECCO 2008»
14 years 10 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
PPSN
2004
Springer
15 years 3 months ago
A Primer on the Evolution of Equivalence Classes of Bayesian-Network Structures
Bayesian networks (BN) constitute a useful tool to model the joint distribution of a set of random variables of interest. To deal with the problem of learning sensible BN models fr...
Jorge Muruzábal, Carlos Cotta
GECCO
2007
Springer
174views Optimization» more  GECCO 2007»
15 years 3 months ago
Heuristic speciation for evolving neural network ensemble
Speciation is an important concept in evolutionary computation. It refers to an enhancements of evolutionary algorithms to generate a set of diverse solutions. The concept is stud...
Shin Ando
GECCO
2008
Springer
139views Optimization» more  GECCO 2008»
14 years 10 months ago
Evolutionary design of dynamic SwarmScapes
This paper discusses interactive evolutionary algorithms and their application in swarm-based image generation. From an artist’s perspective, the computer-generated patterns oï¬...
Namrata Khemka, Scott Novakowski, Gerald Hushlak, ...