A review on genetic algorithm and its application in power system engineering
Genetic algorithm is a one of the frequently used soft computing technique which is used for
optimization of real time problems. Genetic is gaining its popularity because of its robustness …
optimization of real time problems. Genetic is gaining its popularity because of its robustness …
On the hyperbox–hyperplane intersection problem
Finding the intersection between a hyperbox and a hyperplane can be computationally
expensive specially for high dimensional problems. Naive algorithms have an exponential …
expensive specially for high dimensional problems. Naive algorithms have an exponential …
Overview: A simulation based metaheuristic optimization approach to optimal power dispatch related to a smart electric grid
S Hutterer, F Auinger, M Affenzeller… - … Conference on Intelligent …, 2010 - Springer
The implementation of intelligent power grids, in form of smart grids, introduces new
challenges to the optimal dispatch of power. Thus, optimization problems need to be solved …
challenges to the optimal dispatch of power. Thus, optimization problems need to be solved …
A new approach of design for the academic timetabling problem through genetic algorithms
JA Soria-Alcaraz, M Carpio… - 2010 IEEE electronics …, 2010 - ieeexplore.ieee.org
The Academic timetabling problem is a common and hard problem inside every educative
institution, this problem tries to coordinate Students, Teachers, Classrooms and Timeslots …
institution, this problem tries to coordinate Students, Teachers, Classrooms and Timeslots …
[PDF][PDF] List of references on constraint-handling techniques used with evolutionary algorithms
CAC Coello, CSP Zacatenco - Power, 2010 - researchgate.net
List of References on Constraint-Handling Techniques used with Evolutionary Algorithms
Page 1 List of References on Constraint-Handling Techniques used with Evolutionary …
Page 1 List of References on Constraint-Handling Techniques used with Evolutionary …
[引用][C] Simulationsbasierte Optimierung mit Metaheuristiken für optimale Leistungsverteilung im Rahmen von Smart Electric Grids
S Hutterer, M Affenzeller - na