904 search results - page 100 / 181 » The State Problem for Evolutionary Testing |
GECCO
2005
Springer
15 years 3 months ago
2005
Springer
This paper is concerned with a specific brand of evolutionary algorithms: Memetic algorithms. A new local search technique with an adaptive neighborhood setting process is introdu...
GECCO
2005
Springer
15 years 3 months ago
2005
Springer
The global search properties of heuristic search algorithms are not well understood. In this paper, we introduce a new metric, mobility, that quantifies the dispersion of local o...
GECCO
2008
Springer
14 years 11 months ago
2008
Springer
Maintaining diversity is important for the performance of evolutionary algorithms. Diversity mechanisms can enhance global exploration of the search space and enable crossover to ...
JUCS
2008
14 years 10 months ago
2008
: This paper discusses the parallelization of Stochastic Evolution (StocE) metaheuristic, for a distributed parallel environment. VLSI cell placement is used as an optimization pro...
GECCO
2008
Springer
14 years 11 months ago
2008
Springer
In evolutionary computation, experimental results are commonly analyzed using an algorithmic performance metric called best-so-far. While best-so-far can be a useful metric, its u...