Swarm Intelligence And Evolutionary Computation For Single And Multiobjective Optimization In Water Resource Systems

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 (...

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Bibliographic Details
Main Author: Reddy, Manne Janga
Other Authors: Kumar, D Nagesh
Language:en_US
Published: 2008
Subjects:
Swarm Intelligence
Genetic Algorithms
Water Resources - Genetic Algorithm
Water Resources Systems - optimization
Water Resource Management
Elitist-Mutated Multi-Objective Particle Swarm (EM-MOPSO)
Ant Colony Optimization (ACO)
Reservoir Operation Models
Particle Swarm Optimization (PSO)
Multi-Objective Differential Evolution (MODE)
Swarm Optimization
Optimal Reservoir
Hydrology
Online Access:http://hdl.handle.net/2005/370

Internet

http://hdl.handle.net/2005/370

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