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Optimization of the real-world problems has been always considered by researchers due to its substantial improvement effect on processes. Modeling, simulation and decision making are three major parts of all optimization approaches. In this paper, Tri-objective optimization of an industrial greenhouse climate control system is investigated. In this regard, the greenhouse is modeled by the real measured...
Multi-objective Evolutionary Algorithms (MOEAs) always approximate a set of optimal solutions. This set is required to be well spread and uniformly covering wide area of the Pareto-optimal front. In practical context, the Decision Maker (DM) usually chooses solutions in the middle of objective space, where the surface bulges out the most. Such solutions are called “knee solutions”. They are the most...
This paper described a torque control technique for the torsional vibration in a two mass motor drive system, in which a motor and load are connected via a flexible shaft. The gains of the PID controller can be designed by pole assignment using coefficient diagram method criterion. The simulation results show that the proposed controller improves dynamic performance and suppresses torsional vibration...
This paper presents a small-signal model of a static synchronous compensator (STATCOM) in a simple single machine infinite bus system. The above model helps to investigate the effect of the change of the system parameters on system dynamics in a much simpler way. The non-linear model of a machine is linearized at different operating points and linear plant models are obtained. The STATCOM is modeled...
Helping the human decision maker (DM) in finding the most preferred solution is the main purpose of Preference-based Multi-Objective Evolutionary Algorithm (P-MOEA). Interactive methods have been increasingly developed during the years because the preference information is less explicit than other methods. In addition, the DM can specify and correct his/her preference during the course of optimization...
The Generation Expansion Planning (GEP) problem applies to the expansion of the electricity generation network with new power plant investments. It is a multi-objective optimization problem where the level of uncertainty is very high because of its spatial dimensions and time scale. Therefore, it becomes necessary to introduce in the decision making process a systematic treatment of uncertainty to...
A preference-based ranking method is proposed to identify appropriate solutions among all trade-off solutions. This method expresses the decision maker's preference as a ranking priority of the objective functions. After obtaining the approximation of optimal solutions from a searching algorithm, the proposed pruning approach can specify the promising solutions while satisfying the decision maker's...
Allowing the decision maker (DM) incorporates his/her preferences in Multiobjective Evolutionary Algorithm (MOEA) is likely yield better approximation of optimal trade-off solutions for multi-objective optimization problem (MOP). In this paper, we propose a preference-based MOEA to help the DM choosing the final best solution(s) based on his/her preferred objective(s). Our algorithm is called ASA-NSGA-II...
A very important part in our society is healthcare. A Hospital Information System (HIS) is basically a computer system that can manage all the information to allow healthcare providers to do their jobs effectively. Due to the widespread use of such systems, it is necessary to have an approach for evaluation and tracking of a HIS project's success in hospitals which are using this technology. The present...
Nowadays, development and advancement of industrial control systems play an important role in efficiency and performance improvement of industrial systems. In this paper, the control system of greenhouse electrical lighting by using Proportional-Integral-Derivative (PID) controller is studied. Optimization of the mentioned control system based on Real-Time Pricing (RTP) of electricity in the smart...
Nowadays, usage of optimization methods and techniques in various applications is the key factor of increasing the systems efficiency and performance. In this paper, Proportional-Integral-Derivative (PID) controller optimization in greenhouse lighting control system is studied by tuning PID controller coefficients. The advantages and disadvantages of employing multi-objective optimization methods...
The adaptive k-out-of-n system composed of multiple types of components that each component can form a partnership with the same type of components or with even better performances to achieve reliability of a working system is called dynamic k-out-of-n with component partnership. A dynamic k-out-of-n reliability model with component partnership is proposed where all components experience dependent...
Given to the significant role of enterprise resource planning systems (ERP) in the current organizations, several studies have been accomplished regarding these systems. Indeed, implementation of this system is a highly complex process and several aspects such as human factors should be considered to increase the success of implementation. In this study, one of the most significant human factors issues...
Many network attacks on the internet such as Denial of Service, Port Scanning, and Internet Worm can cause a lot of problems to a network system and tend to be more severe. Therefore, awareness of internet attacks is important. In this paper, we propose a centralized management framework of network-based Intrusion Detection and Prevention System (IDPS) via web application, which allows the network...
Because of non-existence of an ideal single solution in Multi-objective optimization frameworks, the set of optimal solutions is required to be well spread and uniformly covering wide area of Pareto front. The decision maker (DM) still work hard to compromise the trade-offs solutions based on his/her preferences. In this paper, we proposed a pruning algorithm that can filter out undesired solutions...
Real-life problems are multi-objective in nature. Prioritizing one objective could suddenly deteriorate other objectives. Furthermore, there is no existence of single best trade-off solution in multi-objective frameworks with many competing objectives. As a decision maker's (DM) opinion is concerned, allowing the DM decides his/her prefer objective is one of the interesting research directions in...
The multi-objective optimization for k-out-of-n redundancy allocation problem with multiple k-out-of-n subsystems connected in series considering k impacts the cost function is presented. The design objective is to select multiple components for a subsystem to maximize system reliability and minimize system cost while satisfying system requirement constraints. Mixing of non-identical component types...
A new k-out-of-n redundancy system is studied where all components have the same characteristics and experience dependent failure processes due to simultaneous exposure to degradation and shock loads. The k-out-of-n system reliability model is developed and preventive maintenance policy is applied. Some research has been done on a single component or simple system, or systems with independent failure...
The paper describes and develops an application of component partnership design for dynamic k-out-of-n system reliability. This alternative k-out-of-n system perspective expresses the new reliability model configured with component partnerships that is applied to actual network design problems requiring high fault tolerance. A telecommunication application modeling example is arranged in a k-out-of-n...
Multiple objective system reliability optimization problems have been become more popular in engineering and have been deeply covered in literature. There are different approaches to address multiple objective optimization problems depending of the area and special characteristics of the problem. Most of the methods developed to solve these types of problems consist in a Pareto set of optimal solutions...
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