in this paper, a novel compensator based on magnetically controlled reactor with fixed capacitor banks (fc-mcr) is introduced and then power system stability in presence of this compensator is studied using an intelligent control method. the problem of robust fc-mcr-based damping controller design is formulated as a multi-objective optimization problem. the multi-objective problem is concocted ...

In present study, a three-step multi-objective optimization algorithm of cyclone separators is catered for the design objectives. First, the pressure drop (Dp) and collection efficiency (h) in a set of cyclone separators are numerically evaluated. Secondly, two meta models based on the evolved Group Method of Data Handling (GMDH) type neural networks are regarded to model the Dp and h as the re...

The increase of blended learning education has been identified as an important goal in improving teachinglearning technological models. However, when considering this development it becomes essential to take into account the potential characteristics that students must have to be successful in this kind of education. This study is based on this human aspect. Thus, the authors have focused on le...

A proposal for particles’ initialization in PSO is presented and discussed, with focus on costly global unconstrained optimization problems. The standard PSO iteration is reformulated such that the trajectories of the particles are studied in an extended space, combining particles’ position and speed. To the aim of exploring effectively and efficiently the optimization search space since the ea...

: & H & / 2 / = $ : ; ; ; H ; / 2 ; ; / k / $ " / ; ;& & $ I+J / K 2 2 / = LM / ; ; ' / ; H H 2 / = NM / ; ; + / 2 NM / ; & LM$ , 2 2 / = 2 L LM / ; ; ' / $ . & 2 ; / & / 2 / = / H ; &$

Over the past decades, several techniques have been employed to improve the applicability of the metaheuristic optimization methods. One of the solutions for improving the capability of metaheuristic methods is the hybrid of algorithms. This study proposes a new optimization algorithm called HPBA which is based on the hybrid of two optimization algorithms; Big Bang-Big Crunch (BB-BC) inspired b...

Building energy optimization (BEO) is a promising technique to achieve efficient designs. The efficacy of algorithms imperative for the BEO and significantly dependent on algorithm hyperparameters. Currently, studies focusing hyperparameters are scarce, common agreement how set their values, especially problems, still lacking. This study proposes metamodel-based methodology hyperparameter appli...

1 A.-R. M. Zaghloul, Georgia Institute of Technology, College of Engineering, GTREP and School of ECE, Orleans Building, Chatham Center Dr., Savannah, GA 31405 [email protected] 2 Ashraf Saad, Georgia Institute of Technology, College of Engineering, GTREP and School of ECE, Orleans Building, Chatham Center Dr., Savannah, GA 31405 [email protected] Abstract  We propose a u...

Pareto dominance-based multiobjective optimization has been successfully applied to constrained evolutionary during the last two decades. However, as another famous framework, decomposition-based not received sufficient attention from optimization. In this paper, we make use of solve problems (COPs). our method, first all, a COP is transformed into biobjective problem (BOP). Afterward, BOP deco...