in most of the multi-criteria decision making problems, it is important to have necessary information about relative importance of each criteria. in this group of problems, weights measure the relative importance of preferences of each criteria in comparison with the other decision making criteria. in this research, the nise method has been used for mapping mean-variance efficient frontier. nis...

In Europe, the operating context in which initiatives of settlement transformation are currently initiated is characterized by a complex, elaborate combination of technical, regulatory and governance-related factors. A similar set of considerations makes it necessary to address the complex decision-making problems to be resolved through multidisciplinary, comparative approaches designed to rati...

I. Introduction Multi-level programming is a powerful technique for solving hierarchical decision-making problems.Multi-level optimization plays an important role in engineering design, management, and decision making in general. Ultimately, a designer or decision maker needs to make tradeoffs between disparate and conflicting design objectives. The field of multi-level optimization defines the...

In the real-world problems, we are likely confronted with some alternatives that need to be evaluated with respect to multiple conflicting criteria. Multi-criteria decision-making (MCDM) refers to making decisions in such a situation. There are many methods and techniques available for solving MCDM problems. The evaluation based on distance from average solution (EDAS) method is an efficient mu...

Multi-objective optimization techniques have made inroad into various aspects of managerial decision making process such as investment, environmental analysis of major projects, etc. The field of operations management, in particular production management, has been somewhat behind in utilizing such techniques. In this paper, we consider a production line that produces several predetermined batc...

A number of decisions are needed for military target engagement in both defensive and offensive situations. These decisions are to be made during target search, detection, acquisition and identification, and typically require the integration of multiple disciplines and the resolution of multiple, conflicting objectives. A departure from the conventional one-time-shot optimization is necessary f...

This paper presents a preference-based method to handle problems with a large number of objectives. With an increase in number of objectives the complexity of the problem rises exponentially and it becomes difficult for evolutionary multiobjective techniques to produce the entire front. In this paper an evolutionary multi-objective procedure is hybridized with preference information from the de...

the present paper aims to investigate the effects of modularity and the layout of subsystems and parts of a complex system on its maintainability. for this purpose, four objective functions have been considered simultaneously: i) maximizing the level of accordance between system design and optimum modularity design,ii) maximizing the level of accessibility and the maintenance space required,iii...

The optimal design of a plate-fin recuperator of a 200-kW microturbine was studied in this paper. The exergy efficiency, pressure drop and total cost were selected as the three important objective functions of the recuperator. Genetic Algorithm (GA) and Non-dominated Sorting Genetic Algorithm (NSGA-II) were respectively employed for single-objective and multi-objective optimizations. By opt...