250 search results - page 35 / 50 » Improving genetic algorithm performance with intelligent map... |
GECCO
2011
Springer
13 years 4 hour ago
2011
Springer
The reward functions that drive reinforcement learning systems are generally derived directly from the descriptions of the problems that the systems are being used to solve. In so...
ASIAMS
2007
IEEE
14 years 2 months ago
2007
IEEE
The shortest capacitated path problem is a well known problem in the networking area, having a wide range of applications. In the shortest capacitated path problem, a traffic flow...
GECCO
2008
Springer
13 years 9 months ago
2008
Springer
One of the major difficulties when applying Multiobjective Evolutionary Algorithms (MOEA) to real world problems is the large number of objective function evaluations. Approximate...
CEC
2008
IEEE
14 years 3 months ago
2008
IEEE
Abstract— This paper presents a new efficient multiobjective evolutionary algorithm for solving computationallyintensive optimization problems. To support a high degree of parall...
CEC
2007
IEEE
14 years 2 months ago
2007
IEEE
Abstract— In spite of large amount of research work in multiobjective evolutionary algorithms, most have evaluated their algorithms on problems with only two to four objectives. ...