scholarly journals The Optimization of the Time-Cost Tradeoff Problem in Projects with Conditional Activities Using of the Multi-Objective Charged System Search Algorithm (SMOCSS)

2016 ◽  
Vol 5 (3) ◽  
pp. 178
Author(s):  
M. K. Sharbatdar ◽  
S. Talatahari ◽  
M. R. Mousavi
Keyword(s):  
Search Algorithm ◽  
Time Cost ◽  
Multi Objective ◽  
Charged System Search ◽  
Charged System

scholarly journals Application of Multi-objective Charged System Search Algorithm for Optimization Problems

2018 ◽  
Vol 0 (0) ◽  
pp. 0-0
Author(s):  
S. Talatahari ◽  
F. Hakimpour ◽  
A. Ranjbar
Keyword(s):  
Optimization Problems ◽  
Search Algorithm ◽  
Multi Objective ◽  
Charged System Search ◽  
Charged System

Novel Adaptive Charged System Search algorithm for optimal tuning of fuzzy controllers

2014 ◽  
Vol 41 (4) ◽  
pp. 1168-1175 ◽  
Author(s):  
Radu-Emil Precup ◽  
Radu-Codruţ David ◽  
Emil M. Petriu ◽  
Stefan Preitl ◽  
Mircea-Bogdan Rădac
Keyword(s):  
Search Algorithm ◽  
Fuzzy Controllers ◽  
Optimal Tuning ◽  
Charged System Search ◽  
Charged System

scholarly journals REDUCTION OF ACTIVE POWER LOSS BY ADAPTIVE CHARGED SYSTEM SEARCH ALGORITHM

2017 ◽  
Vol 5 (10) ◽  
pp. 34-45
Author(s):  
K. Lenin
Keyword(s):  
Power Loss ◽  
Search Algorithm ◽  
Active Power ◽  
Newtonian Mechanics ◽  
Charged System Search ◽  
Optimal Power ◽  
Multi Agent ◽  
Charged System ◽  
Power Problem

This paper presents a new optimization algorithm called Adaptive Charged System Search Algorithm (ACA) for solving optimal power problem. Coulomb law from electrostatics and the Newtonian laws of mechanics are forming the basics of the proposed algorithm. Adaptive Charged System Search Algorithm (ACA) is a multi-agent approach in which each agent is a Charged Particle (CP) & they affect each other based on their fitness values, separation of distances. The quantity of the resultant force is determined by using the electrostatics laws and the quality of the movement is determined using Newtonian mechanics laws. Proposed Adaptive Charged System Search Algorithm (ACA) has been tested in Standard IEEE 57,118 bus systems & real power loss has been comparatively reduced with voltage profiles are within the limits.

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