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GECCO
2008
Springer
123views Optimization» more  GECCO 2008»
13 years 6 months ago
Precision, local search and unimodal functions
We investigate the effects of precision on the efficiency of various local search algorithms on 1-D unimodal functions. We present a (1 + 1)-EA with adaptive step size which fin...
Martin Dietzfelbinger, Jonathan E. Rowe, Ingo Wege...
GECCO
2008
Springer
123views Optimization» more  GECCO 2008»
13 years 6 months ago
MLS security policy evolution with genetic programming
In the early days a policy was a set of simple rules with a clear intuitive motivation that could be formalised to good effect. However the world is becoming much more complex. S...
Yow Tzu Lim, Pau-Chen Cheng, Pankaj Rohatgi, John ...
GECCO
2008
Springer
186views Optimization» more  GECCO 2008»
13 years 6 months ago
A pareto following variation operator for fast-converging multiobjective evolutionary algorithms
One of the major difficulties when applying Multiobjective Evolutionary Algorithms (MOEA) to real world problems is the large number of objective function evaluations. Approximate...
A. K. M. Khaled Ahsan Talukder, Michael Kirley, Ra...
GECCO
2008
Springer
115views Optimization» more  GECCO 2008»
13 years 6 months ago
On the evolution of motility and intelligent tactic response
Laura M. Grabowski, Wesley R. Elsberry, Charles Of...
GECCO
2008
Springer
13 years 6 months ago
Speeding online synthesis via enforced selecto-recombination
Shunsuke Saruwatari, Xavier Llorà, Noriko I...
GECCO
2008
Springer
143views Optimization» more  GECCO 2008»
13 years 6 months ago
Enhanced generalized ant programming (EGAP)
This paper begins by reviewing different methods of automatic programming while emphasizing the technique of Ant Programming (AP). AP uses an ant foraging metaphor in which ants g...
Amirali Salehi-Abari, Tony White
GECCO
2008
Springer
142views Optimization» more  GECCO 2008»
13 years 6 months ago
Complexity of Max-SAT using stochastic algorithms
Hill-climbing has been shown to be more effective than exhaustive search in solving satisfiability problems.Also, it has been used either by itself or in combination with other ...
Mohamed Qasem, Adam Prügel-Bennett
GECCO
2008
Springer
131views Optimization» more  GECCO 2008»
13 years 6 months ago
A new memetic strategy for the numerical treatment of multi-objective optimization problems
In this paper we propose a novel iterative search procedure for multi-objective optimization problems. The iteration process – though derivative free – utilizes the geometry o...
Oliver Schütze, Gustavo Sanchez, Carlos A. Co...
GECCO
2008
Springer
107views Optimization» more  GECCO 2008»
13 years 6 months ago
The influence of scaling and assortativity on takeover times in scale-free topologies
In evolving systems, the topological characteristics of population structure have a pronounced impact on the rate of spread of advantageous alleles, and therefore affect selective...
Joshua L. Payne, Margaret J. Eppstein