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TEC
2008
115views more  TEC 2008»
13 years 3 months ago
Function Approximation With XCS: Hyperellipsoidal Conditions, Recursive Least Squares, and Compaction
An important strength of learning classifier systems (LCSs) lies in the combination of genetic optimization techniques with gradient-based approximation techniques. The chosen app...
Martin V. Butz, Pier Luca Lanzi, Stewart W. Wilson
TEC
2008
91views more  TEC 2008»
13 years 3 months ago
Applying a Traffic Lights Evolutionary Optimization Technique to a Real Case: "Las Ramblas" Area in Santa Cruz de Tenerife
Abstract--In previous research, we have designed and successfully tested a Traffic Light Cycles Evolutionary Optimization Architecture. In this paper, we attempt to validate those ...
Javier J. Sánchez Medina, Manuel J. Gal&aac...
TEC
2008
97views more  TEC 2008»
13 years 3 months ago
Ergonomic Chair Design by Fusing Qualitative and Quantitative Criteria Using Interactive Genetic Algorithms
This paper emphasizes the necessity of formally bringing qualitative and quantitative criteria of ergonomic design together, and provides a novel complementary design framework wit...
Alexandra Melike Brintrup, Jeremy Ramsden, Hideyuk...
TEC
2008
135views more  TEC 2008»
13 years 3 months ago
Quantum Genetic Optimization
Abstract--The complexity of the selection procedure of a genetic algorithm that requires reordering, if we restrict the class of the possible fitness functions to varying fitness f...
Andrea Malossini, Enrico Blanzieri, T. Calarco
TEC
2008
118views more  TEC 2008»
13 years 3 months ago
RM-MEDA: A Regularity Model-Based Multiobjective Estimation of Distribution Algorithm
Under mild conditions, it can be induced from the Karush-Kuhn-Tucker condition that the Pareto set, in the decision space, of a continuous multiobjective optimization problem is (m...
Qingfu Zhang, Aimin Zhou, Yaochu Jin
TEC
2008
100views more  TEC 2008»
13 years 3 months ago
Real-Valued Compact Genetic Algorithms for Embedded Microcontroller Optimization
Recent research on compact genetic algorithms (cGAs) has proposed a number of evolutionary search methods with reduced memory requirements. In cGAs, the evolution of populations is...
Ernesto Mininno, Francesco Cupertino, David Naso
TEC
2008
94views more  TEC 2008»
13 years 3 months ago
Measuring Generalization Performance in Coevolutionary Learning
Coevolutionary learning involves a training process where training samples are instances of solutions that interact strategically to guide the evolutionary (learning) process. One ...
Siang Yew Chong, Peter Tino, Xin Yao
TEC
2008
88views more  TEC 2008»
13 years 3 months ago
A Simulated Annealing-Based Multiobjective Optimization Algorithm: AMOSA
This paper describes a simulated annealing based multiobjective optimization algorithm that incorporates the concept of archive in order to provide a set of tradeoff solutions for ...
Sanghamitra Bandyopadhyay, Sriparna Saha, Ujjwal M...
TEC
2008
98views more  TEC 2008»
13 years 3 months ago
Opposition-Based Differential Evolution
Evolutionary Algorithms (EAs) are well-known optimization approaches to cope with non-linear, complex problems. These population-based algorithms, however, suffer from a general we...
Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A...
TEC
2008
93views more  TEC 2008»
13 years 3 months ago
An Artificial Immune System Heuristic for Generating Short Addition Chains
This paper deals with the optimal computation of finite field exponentiation, which is a well-studied problem with many important applications in the areas of error-correcting code...
Nareli Cruz Cortés, Francisco Rodríg...