An enhanced charged system search for configuration optimization using the concept of fields of forces

The Charged System Search (CSS) metaheuristic algorithm is introduced to the field of water resources management and applied to derive water-supply and hydro-power operating policies for a large-scale real-world reservoir system. The optimum algorithm parameters for each reservoir operation problems are also obtained via a tuning procedure. The CSS algorithm is a metaheuristic optimization method inspired by the governing laws of electrostatics in physics and motion from the Newtonian mechanics. In this study, the CSS algorithm’s performance has been tested with benchmark problems, consisting of highly non-linear constrained and/or unconstrained real-valued mathematical models, such as the Ackley’s function and Fletcher–Powell function. The CSS algorithm is then used to optimally solve the water-supply and hydropower operation of “Dez” reservoir in southern Iran over three different operation periods of 60, 240, and 480 months, and the results are presented and compared with those obtained by other available optimization approaches including Genetic Algorithm (GA), Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO) and Constrained Big Bang–Big Crunch (CBB–BC) algorithm, as well as those obtained by gradient-based Non-Linear Programming (NLP) approach. The results demonstrate the robustness and superiority of the CSS algorithm in solving long term reservoir operation problems, compared to alternative methods. The CSS algorithm is used for the first time in the field of water resources management, and proves to be a robust, accurate, and fast convergent method in handling complex problems in this filed. The application of this approach in other water management problems such as multi-reservoir operation and conjunctive surface/ground water resources management remains to be studied.

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Hybrid fuzzy charged system search algorithm based state estimation in distribution networks

Engineering Science and Technology an International Journal ◽

10.1016/j.jestch.2017.04.002 ◽

2017 ◽

Vol 20 (3) ◽

pp. 922-933 ◽

Cited By ~ 3

Author(s):

Sachidananda Prasad ◽

D.M. Vinod Kumar

Keyword(s):

State Estimation ◽

Search Algorithm ◽

Distribution Networks ◽

Charged System Search ◽

Charged System

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Automated layout design of multi-span reinforced concrete beams using charged system search algorithm

Engineering Computations ◽

10.1108/ec-05-2017-0188 ◽

2018 ◽

Vol 35 (3) ◽

pp. 1402-1413 ◽

Cited By ~ 1

Author(s):

Mehmet Eren Uz ◽

Pezhman Sharafi ◽

Mahya Askarian ◽

Weiqing Fu ◽

Chunmei Zhang

Keyword(s):

Reinforced Concrete ◽

Optimization Problem ◽

Concrete Beams ◽

Cost Optimization ◽

Layout Design ◽

Content Type ◽

Charged System Search ◽

Automated Method ◽

Charged System ◽

Geometric Layout

Purpose The preliminary layout design of structures impacts upon the entire design process and, consequently, the total cost. The purpose of this paper is to select the most economical layouts that satisfy structural and architectural requirements, while considering the reciprocal effects of cost factors and layout variables at the preliminary stages of design. Design/methodology/approach This paper presents an automated method for cost optimization of geometric layout design of multi-span reinforced concrete (RC) beams subjected to dynamic loading by using the charged system search (CSS) algorithm. First, a novel cost optimization approach for geometric layout problems is introduced, in which both cost parameters and dynamic responses are considered in the preliminary layout design of beams. The proposed structural optimization problem with constraints on the static and dynamic equilibrium, architectural dimensions and structural action effects is solved using the CSS algorithm. Findings The proposed CSS algorithm for solving the cost optimization problem can be easily used for optimizing the span lengths and is also capable of working with various cost functions. The presented examples show that the proposed algorithm using the new cost optimization function provides satisfactory results and can result in over 7 per cent cost saving. Originality/value This is an original paper proposing a novel methodology for preliminary layout design of concrete beams.

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