—This paper looks at frequency domain design of a fractional order (FO) PID controller for an Automatic Voltage Regulator (AVR) system. Various performance criteria of the AVR system are formulated as system norms and is then coupled with an evolutionary multi-objective optimization (MOO) algorithm to yield Pareto optimal design trade-offs. The conflicting performance measures consist of the mi...

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 solution of single-objective unit commitment problems for generation companies participating in deregulated markets may not directly be implementable mainly because of neglecting some conflicting secondary objectives arising from policy-making at internal/external environment. Benefiting an efficient multi-objective approach to improve the applicability of price-based unit commitment soluti...

Mathematical programming and artificial intelligence (AI) methods are known as the most effective and applicable procedures to form manufacturing cells in designing a cellular manufacturing system (CMS). In this paper, a bi-objective programming model is presented to consider the cell formation problem that is solved by a proposed multi-objective particle swarm optimization (MOPSO). The model c...

1. Multiple objectives: When dealing with complex tasks usually there is more than one objective. This is due to the fact that a global one may be very hard to design or unknown. It is often much easier to decompose the task in smaller possibly conflicting objectives. For example, it is common to have in operating systems two, or more, processes cooperating to provide different parts of a funct...

We present an application of multiple-objectives evolutionary optimization to the problem of engineering the distribution of the interdomain traffic in the Internet. We show that this practical problem requires such a heuristic due to the potential conflicting nature of the traffic engineering objectives. Furthermore, having to work on the parameter’s space of the real problem makes such techni...

This paper investigates causal relations between economic growth, income inequality, and transmission channels during the period 1972 to 2016. These channels include saving rate, investment rate, redistribution policies, human capital, and conspicuous consumption. There is no strong evidence that supports uni-directional or bi-directional causality. In addition, some of the transmission channel...

A decision making process requires the values of conflicting objectives for alternatives and the selection of the best alternative according to the needs of decision makers. Multi-objective optimization methods may provide solution for this selection. In this paper it is aimed to present the laptop selection problem based on MOORA plus full multiplicative form (MULTIMOORA) and multi-objective o...