The paper presents possibilities of improving design and manufacturing preparation processes of configurable (variant) products in scope of realization of mass customization strategy. Knowledge based engineering tools are presented as a base for building systems for automation of design and manufacturing preparation. Methodologies of building KBE systems are presented and described, authors’ ow...

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...

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...