3038 search results - page 81 / 608 » Industrial evolutionary computing |
170
click to vote
CEC
2010
IEEE
14 years 3 months ago
2010
IEEE
— This paper presents Evolutionary Optimization Tool (Evoptool), an optimization toolkit that implements a set of meta-heuristics based on the Evolutionary Computation paradigm. ...
CORR
2010
Springer
14 years 12 months ago
2010
Springer
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
GECCO
2008
Springer
15 years 29 days 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...
VL
2005
IEEE
15 years 5 months ago
2005
IEEE
Evolutionary algorithms (EAs) produce a vast amount of data by recurring processes, e.g., selection, recombination, or mutation, that work on populations of solutions for a speciï...
GECCO
2008
Springer
15 years 29 days ago
2008
Springer
In this paper we describe an improvement of an entropy-based diversity preservation approach for evolutionary algorithms. This approach exploits the information contained not only...