99 search results - page 13 / 20 » Genetic Algorithms for Randomized Unit Testing |
ICA
2007
Springer
14 years 11 months ago
2007
Springer
Abstract. This paper introduces gradient based method for robust assessment of the sparse pulse sources, such as motor unit innervation pulse trains in the filed of electromyograp...
ICANNGA
2007
Springer
15 years 1 months ago
2007
Springer
Abstract. In the paper, a new method of decision tree learning for costsensitive classification is presented. In contrast to the traditional greedy top-down inducer in the proposed...
AIR
2004
14 years 9 months ago
2004
Abstract. In this work we study an over-constrained scheduling problem where constraints cannot be relaxed. This problem originates from a local defense agency where activities to ...
GECCO
2008
Springer
14 years 10 months ago
2008
Springer
This paper compares three common evolutionary algorithms and our modified GA, a Distributed Adaptive Genetic Algorithm (DAGA). The optimal approach is sought to adapt, in near rea...
GECCO
2006
Springer
15 years 1 months ago
2006
Springer
We show that there are unimodal fitness functions and genetic algorithm (GA) parameter settings where the GA, when initialized with a random population, will not move close to the...