Swarm Intelligence And Evolutionary Computation For Single And Multiobjective Optimization In Water Resource Systems
Most of the real world problems in water resources involve nonlinear formulations in their solution construction. Obtaining optimal solutions for large scale nonlinear optimization problems is always a challenging task. The conventional methods, such as linear programming (LP), dynamic programming (...
Main Author: | Reddy, Manne Janga |
---|---|
Other Authors: | Kumar, D Nagesh |
Language: | en_US |
Published: |
2008
|
Subjects: | |
Online Access: | http://hdl.handle.net/2005/370 |
Similar Items
-
Optimization of Multipurpose Reservoir Operation with Application Particle Swarm Optimization Algorithm
by: Elahe Fallah Mehdipour, et al.
Published: (2012-12-01) -
Multiobjective Particle Swarm Optimization Algorithm Based on Adaptive Angle Division
by: Qian Feng, et al.
Published: (2019-01-01) -
A Novel Hybrid Multi-Objective Particle Swarm Optimization Algorithm With an Adaptive Resource Allocation Strategy
by: Lingjie Li, et al.
Published: (2019-01-01) -
Multi-Objective Sustainable Operation of the Three Gorges Cascaded Hydropower System Using Multi-Swarm Comprehensive Learning Particle Swarm Optimization
by: Xiang Yu, et al.
Published: (2016-06-01) -
Optimization-based mechanism synthesis using multi-objective parallel asynchronous particle swarm optimization
by: McDougall, Robin David
Published: (2008)