3038 search results - page 150 / 608 » Industrial evolutionary computing |
149
Voted
GECCO
2005
Springer
15 years 9 months ago
2005
Springer
We describe the Enhanced Evolutionary Tabu Search (EE-TS) local search technique. The EE-TS metaheuristic technique combines Reactive Tabu Search with evolutionary computing eleme...
127
Voted
GECCO
2006
Springer
15 years 7 months ago
2006
Springer
In an evolutionary algorithm, the population has a very important role as its size has direct implications regarding solution quality, speed, and reliability. Theoretical studies ...
125
Voted
CEC
2010
IEEE
15 years 4 months ago
2010
IEEE
The field of evolutionary dynamic optimisation is concerned with the application of evolutionary algorithms to dynamic optimisation problems. In recent years, numerous new algorith...
142
Voted
GECCO
2008
Springer
15 years 4 months ago
2008
Springer
Evolutionary multi-objective optimization (EMO) methodologies, suggested in the beginning of Nineties, focussed on the task of finding a set of well-converged and well-distribute...
127
Voted
COR
2008
2008
Observations in using parallel and sequential evolutionary algorithms for automatic software testing
15 years 3 months ago
In this paper we analyze the application of parallel and sequential evolutionary algorithms (EAs) to the automatic test data generation problem. The problem consists of automatica...