146 search results - page 10 / 30 » A new multi-objective evolutionary algorithm for solving hig... |
GECCO
2008
Springer
13 years 8 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...
GECCO
2007
Springer
14 years 1 months ago
2007
Springer
Markov Networks (also known as Markov Random Fields) have been proposed as a new approach to probabilistic modelling in Estimation of Distribution Algorithms (EDAs). An EDA employ...
PATAT
1995
Springer
13 years 11 months ago
1995
Springer
The scheduling of exams in institutions of higher education is known to be a highly constrained problem. The advent of modularity in many institutions in the UK has resulted in a s...
ISCI
2008
13 years 7 months ago
2008
Evolutionary algorithms (EAs) have been applied with success to many numerical and combinatorial optimization problems in recent years. However, they often lose their effectivenes...
EVOW
2003
Springer
14 years 19 days ago
2003
Springer
Evolutionary Algorithms (EAs) have been proposed as a very powerful heuristic optimization technique to solve complex problems. Many case studies have shown that they work very eff...