A hybrid CSS and PSO algorithm for optimal design of structures

2012 ◽  
Vol 42 (6) ◽  
pp. 783-797 ◽  
Author(s):  
A. Kaveh ◽  
S. Talatahari
Keyword(s):  
Optimal Design ◽  
Pso Algorithm

scholarly journals Stochastic order-based optimal design of a surface reservoir–irrigation district system

2012 ◽  
Vol 15 (2) ◽  
pp. 591-606 ◽  
Author(s):  
Hosein Alizadeh ◽  
S. Jamshid Mousavi
Keyword(s):  
Optimal Design ◽  
Stochastic Order ◽  
Pso Algorithm ◽  
Expected Value ◽  
Irrigation District ◽  
Stochastic Orders ◽  
Stochastic Programs ◽  
Mathematical Programs ◽  
Expected Gain ◽  
Global Optima

This paper explores the effects of streamflow uncertainty and the type of stochastic order, which is used for comparing stochastic variables, on optimal design of a reservoir multi-crop irrigation district system. Four nonlinear mathematical programs with an economic objective function including deterministic, stochastic-EXP with expected value order, stochastic-SD with stochastic dominance (SD) order, and stochastic-EGCL with expected gain-confidence limit (EGCL) order were developed. Afterwards, the approaches of successive linear programming (SLP) and PSO–MC, which combines particle swarm optimization (PSO) algorithm and Monte Carlo simulation (MC), to solve the programs were selected. Hajiarab Irrigation District located in Ghazvin Province of Iran was used as a case study and the results obtained from using different programs and solution approaches were analyzed and compared. Among the solution approaches, SLP could not solve the programs other than the deterministic one while PSO–MC could find at least good solutions, if not the global optima, for all the programs. Among the main decision variables, the stochastic programs resulted in a reduced size of irrigation district compared with that obtained by the deterministic program. Moreover, the programs using stochastic orders other than a simple expected value converged at solutions different from the solution reached by the expected value-based program.

scholarly journals PSO-Algorithm-Based Optimal Design of LCLC Resonant Converters for Space Travelling-Wave Tube Amplifiers Applications

Energies ◽  
2019 ◽  
Vol 12 (12) ◽  
pp. 2444
Author(s):  
Bin Zhao ◽  
Gang Wang
Keyword(s):  
Optimal Design ◽  
Power Loss ◽  
Design Method ◽  
Pso Algorithm ◽  
Travelling Wave ◽  
Total Power ◽  
Resonant Converters ◽  
Resonant Converter ◽  
Wave Tube ◽  
Optimal Design Method

Due to the advantages of zero-voltage-switching (ZVS) and zero-current-switching (ZCS), LCLC resonant converters are universally applied in two-stage electronic power conditioners (EPCs) of space travelling-wave tube amplifiers (TWTAs). In two-stage EPCs, as the output voltage is regulated by the first stage, the main functions of LCLC resonant converters are to boost the input voltage, provide galvanic isolation, and maintain high efficiency. However, the total power loss of an LCLC resonant converter is very challenging because of the multiple resonant components and their mutual couplings. In order to solve this problem, in this paper, a PSO (Particle Swarm Optimization)-algorithm-based, efficiency-oriented optimal design method of an LCLC resonant converter is proposed. Based on an analysis of working principles, the total power loss (with consideration of all the power losses, including the driving loss and the conduction loss of the main switches), transformer loss, and power loss of the rectifiers is calculated. After that, the total power loss is appointed as the objective function of the PSO algorithm, where the optimal circuit parameters are derived to minimize the total power loss. After the optimal circuit parameters are obtained, an LCLC resonant converter with the desired parameters is built. Finally, the proposed PSO-algorithm-based, efficiency-oriented optimal design method is validated by an example.

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