this paper presents a relatively new management model for the optimal design and operation of irrigation water pumping systems. the model makes use of the newly introduced particle swarm optimization algorithm. a two step optimization model is developed and solved with the particle swarm optimization method. the model first carries out an exhaustive enumeration search for all feasible sets of p...

Abstract This study proposes a novel and dexterous local search scheme for improving the exploitation phase of generic metaheuristic algorithm. The proposed considers twofold probing mechanism, which takes advantage chaotic number generated by hybrid map composed Logistic Kent to move around so-far-obtained global best solutions reach feasible candidate solutions. Also, an iterative inspired va...

This paper describes the application of the recently developed metaheuristic algorithm for simultaneous analysis, design and optimization of Water Distribution Systems (WDSs). In this method, analysis is carried out using Colliding Bodies Optimization algorithm (CBO). The CBO is a population-based search approach that imitates nature’s ongoing search for better solutions. Also, design and cost ...

In this study, to enhance the optimization process, especially in the structural engineering field two well-known algorithms are merged together in order to achieve an improved hybrid algorithm. These two algorithms are Teaching-Learning Based Optimization (TLBO) and Harmony Search (HS) which have been used by most researchers in varied fields of science. The hybridized algorithm is called A Di...

This document presents a master–slave methodology for solving the problem of optimal operation photovoltaic (PV) distributed generators (DGs) in direct current (DC) networks. was modeled using nonlinear programming model (NLP) that considers minimization three different objective functions daily system. The first one corresponds to total operational cost system, including energy purchasing conv...