This paper proposes a practical methodology for the solution of multi-objective system reliability optimization problems. The new method is based on the sequential combination of multi-objective evolutionary algorithms and data clustering on the prospective solutions to yield a smaller, more manageable sets of prospective solutions. Existing methods for multiple objective problems involve eithe...

Uncertain variables are used to describe the phenomenon where uncertainty appears in a complex system. For modeling the multi-objective decision-making problems with uncertain parameters, a class of uncertain optimization is suggested for the decision systems in Liu and Chen (2013), http://orsc.edu.cn/online/131020 which is called the uncertain multi-objective programming. In order to solve the...

This work introduces the following concepts of directional and estimated Pareto front to encourage multi-objective decision making, especially when exists in limited regions objective space. The general output optimization is a set non-dominated solutions approximate front. When regions, few are obtained presented maker. representing value trade-off barrier making. introduced this study superse...

In this paper, an interval-valued Pythagorean triangular fuzzy number (IVPTFN) as a useful tool to handle decision-making problems with vague quantities is defined. Then, their operational laws are developed. By introducing a novel method of making a decision on the concept of possibility theory, a multi-attribute group decision-making (MAGDM) problem is considered, in which the attribute value...

With the development of social spiritual civilization, people pay more and attention to physical health. The construction sports facilities is an important way improve national quality, which helps promote exercise. So, demands around world are in climax. blind crazy expansion can alleviate people’s demand for exercise a certain extent, but there also risks environmental damage economic waste. ...

Abstract The main feature of the multi-criteria optimization design processes complex electronic devices is that they are all interconnected, heterogeneous in nature and, as a rule, non-linear. That is, by changing some them varying corresponding parameters, we inevitably change other parameters system, and not always right direction. purpose work to propose way organize procedure for finding o...

Decision making in engineering design can be effectively addressed by using genetic algorithms to solve multi-objective problems. These multi-objective genetic algorithms (MOGAs) are well suited to implementation in a Service Oriented Architecture. Often the evaluation process of the MOGA is compute-intensive due to the use of a complex computer model to represent the real-world system. The eme...