Large Scale Optimization based on self-directed Local Search

Faculty	Computer Science	Year:	2011
Type of Publication:	ZU Hosted	Pages:
Authors:	Eman samir hasan sayed Staff Zu Site Abstract In Staff Site
Journal:	ASOR Bulletin ASOR Bulletin	Volume:

Keywords :	Large Scale Optimization based , self-directed Local
Abstract:	In this paper we propose, a Memetic Algorithm (MA) that is based on a self-directed Local Search (MA-sd-LS), for solving large scale problems using a random grouping decomposition technique. To overcome the large dimensionality difficulties

Author Related Publications

Eman samir hasan sayed, "Using Hybrid Dependency Identification with a Memetic Algorithm for Large Scale Optimization Problems", Springer Berlin Heidelberg, 2012 More
Eman samir hasan sayed, "Decision Making Assessment for Site Selection Using the AHP and TOPSIS Methods", Statistical studies institution, Cairo University, Egypt, 2007 More
Eman samir hasan sayed, "Dependency Identification technique for large scale optimization problems", IEEE, 2012 More
Eman samir hasan sayed, "A Decomposition-based Algorithm for Dynamic Economic Dispatch Problems", IEEE, 2014 More
Eman samir hasan sayed, "Decomposition-based evolutionary algorithm for large scale constrained problems", Elsevier Inc, 2014 More

Mohammed Abdel Basset Metwally Attia, "Discrete greedy flower pollination algorithm for spherical traveling salesman problem", Springer, 2019 More
Mohammed Abdel Basset Metwally Attia, "A New Hybrid Flower Pollination Algorithm for Solving Constrained Global Optimization Problems", Natural Sciences Publishing Cor., 2014 More
Saber Mohamed, "Training and Testing a Self-Adaptive Multi-Operator Evolutionary Algorithm for Constrained Optimization", ELSEVEIR, 2015 More
Saber Mohamed, "An Improved Self-Adaptive Differential Evolution Algorithm for Optimization Problems", IEEE, 2013 More
Saber Mohamed, "Differential Evolution with Dynamic Parameters Selection for Optimization Problems", IEEE, 2014 More