There is a growing interest in integrating model based evolutionary optimization in engineering design decision making for effective search of the solution space. Most applications of evolutionary optimization are concerned with the search for optimal solutions satisfying pre-defined constraints while minimizing or maximizing desired goals. A few have explored post-optimization decision making ...

In this paper, we elaborate how decision space diversity can be integrated into indicator-based multiobjective search. We introduce DIOP, the diversity integrating multiobjective optimizer, which concurrently optimizes two set-based diversity measures, one in decision space and the other in objective space. We introduce a possibility to improve the diversity of a solution set, where the minimum...

In the paper we present a new iterative method for solving multiobjective linear programming problems with an arbitrary number of decision makers. The method is based on the principles of game theory. Each step of the method yields a unique solution which respects the aspirations of decision makers within the frame of given possibilities. Each decision maker is assigned an objective indicator w...

aggregation operators (aos) have been studied by many schol- ars. as many aos are proposed, there is still lacking approach to classify the categories of ao, and to select the appropriate ao within the ao candidates. in this research, each ao can be regarded as a cognitive style or individual dierence. a cognitive style and aggregation operator (csao) model is pro- posed to analyze the mapping ...

In this paper, we focus on hierarchical multiobjective linear programming problems where multiple decision makers in a hierarchical organization have their own multiple objective linear functions together with common linear constraints, and propose an interactive decision making method to obtain a satisfactory solution which reflects not only the hierarchical relationships between multiple deci...

How many wireless sensor nodes should be used and where should they be placed in order to form an optimal wireless sensor network (WSN) deployment? This is a difficult question to answer for a decision maker due to the conflicting objectives of deployment costs and wireless transmission reliability. Here, we address this problem using a multiobjective evolutionary algorithm (MOEA) which allows ...

introduction: to run a hospital effectively, managers need to have proper decision-making strategies. the managers' decision-making strategies and the staff's job satisfaction are two major factors that allow the manager to achieve the planned objectives. therefore, in this paper, these two factors were studied. methods and materials: it was a descriptive study in which the population of the st...

various traditional and industrial coke making techniques were discussed based on their limitations and production capacities, and the criteria such as the quality and size of coke production, amount of coke crumb, amount of investment, amount of operational costs, labor force and mechanization. in this work, the rankings of various traditional and industrial coke making techniques were carried...

Multiobjective optimization is a common problem in the field of industrial cutting. In actual production settings, it necessary to rely on experience skilled workers achieve multiobjective collaborative optimization. The process intelligence perceive parameters cut object through sensors and use machines instead manual decision making. However, traditional sequential algorithm cannot satisfy pr...