Although multi-objective GA (MOGA) is an efficient multiobjective optimization (MOO) method, it has some limitations that need to be tackled, which include unguaranteed uniformity...
Ken Harada, Jun Sakuma, Shigenobu Kobayashi, Isao ...
address (at least three) common problems, and the solution is then abstracted into a pattern. Antipatterns, on the other hand, identify common problems with solutions, and then sho...
Evolutionary computation techniques are increasingly being applied to problems within Information Retrieval (IR). Genetic programming (GP) has previously been used with some succe...
This paper considers the issue of postprocessing the output of interval-based solvers for further exploitations when solving numerical CSPs with continuum of solutions. Most interv...
Using variational analysis techniques, we study convex-composite optimization problems. In connection with such a problem, we introduce several new notions as variances of the clas...