TEC
2008
14 years 11 days ago
2008
An important strength of learning classifier systems (LCSs) lies in the combination of genetic optimization techniques with gradient-based approximation techniques. The chosen app...
TEC
2008
14 years 11 days ago
2008
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 ...
TEC
2008
14 years 11 days ago
2008
This paper emphasizes the necessity of formally bringing qualitative and quantitative criteria of ergonomic design together, and provides a novel complementary design framework wit...
TEC
2008
14 years 11 days ago
2008
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...
TEC
2008
14 years 11 days ago
2008
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...
TEC
2008
14 years 11 days ago
2008
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...
TEC
2008
14 years 11 days ago
2008
Coevolutionary learning involves a training process where training samples are instances of solutions that interact strategically to guide the evolutionary (learning) process. One ...
TEC
2008
14 years 11 days ago
2008
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 ...
TEC
2008
14 years 11 days ago
2008
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...
TEC
2008
14 years 11 days ago
2008
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...