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GECCO
2008
Springer
109views Optimization» more  GECCO 2008»
13 years 9 months ago
Focused no free lunch theorems
Proofs and empirical evidence are presented which show that a subset of algorithms can have identical performance over a subset of functions, even when the subset of functions is ...
Darrell Whitley, Jonathan E. Rowe
GECCO
2008
Springer
144views Optimization» more  GECCO 2008»
13 years 9 months ago
Multiobjective robustness for portfolio optimization in volatile environments
Multiobjective methods are ideal for evolving a set of portfolio optimisation solutions that span a range from highreturn/high-risk to low-return/low-risk, and an investor can cho...
Ghada Hassan, Christopher D. Clack
GECCO
2008
Springer
133views Optimization» more  GECCO 2008»
13 years 9 months ago
Automatic generation of XSLT stylesheets using evolutionary algorithms
This paper introduces a procedure based on genetic programming to evolve XSLT programs (usually called stylesheets or logicsheets). XSLT is a general purpose, document-oriented fu...
Pablo García-Sánchez, Juan Juli&aacu...
GECCO
2008
Springer
110views Optimization» more  GECCO 2008»
13 years 9 months ago
Genetic programming for finite algebras
We describe the application of genetic programming (GP) to a problem in pure mathematics, in the study of finite algebras. We document the production of human-competitive results...
Lee Spector, David M. Clark, Ian Lindsay, Bradford...
GECCO
2008
Springer
108views Optimization» more  GECCO 2008»
13 years 9 months ago
Search space reduction technique for constrained optimization with tiny feasible space
The hurdles in solving Constrained Optimization Problems (COP) arise from the challenge of searching a huge variable space in order to locate feasible points with acceptable solut...
Abu S. S. M. Barkat Ullah, Ruhul A. Sarker, David ...
GECCO
2008
Springer
164views Optimization» more  GECCO 2008»
13 years 9 months ago
Genetic algorithms with local search optimization for protein structure prediction problem
This paper presents a new Genetic Algorithm for Protein Structure Prediction problem in both 2D and 3D hydrophobichydrophilic lattice models, introduced in [1]. Our algorithm evol...
Igor Berenboym, Mireille Avigal
GECCO
2008
Springer
152views Optimization» more  GECCO 2008»
13 years 9 months ago
Designing EDAs by using the elitist convergent EDA concept and the boltzmann distribution
This paper presents a theoretical definition for designing EDAs called Elitist Convergent Estimation of Distribution Algorithm (ECEDA), and a practical implementation: the Boltzm...
Sergio Ivvan Valdez Peña, Arturo Hern&aacut...
GECCO
2008
Springer
182views Optimization» more  GECCO 2008»
13 years 9 months ago
Scaling ant colony optimization with hierarchical reinforcement learning partitioning
This paper merges hierarchical reinforcement learning (HRL) with ant colony optimization (ACO) to produce a HRL ACO algorithm capable of generating solutions for large domains. Th...
Erik J. Dries, Gilbert L. Peterson
GECCO
2008
Springer
159views Optimization» more  GECCO 2008»
13 years 9 months ago
Co-evolution of active sensing and locomotion gaits of simulated snake-like robot
We propose an approach of automated co-evolution of the optimal values of attributes of active sensing (orientation, range and timing of activation of sensors) and the control of ...
Ivan Tanev, Katsunori Shimohara
GECCO
2008
Springer
171views Optimization» more  GECCO 2008»
13 years 9 months ago
Image registration using genetic algorithms
This paper addresses the image registration problem applying genetic algorithms. The image registration’s objective is the definition of a mapping that best match two set of poi...
Flávio Luiz Seixas, Luiz Satoru Ochi, Aura ...