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In "Basic concepts of multi-objective optimization and non-dominated sorting" section, some basic concepts of multi-objective optimization and non-dominated sorting are given.
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The purpose of this review is to describe the basic concept of the multi-objective simultaneous optimization technique, in which an artificial neural network (ANN) is incorporated.
Let us begin this section with some basic concepts of multi-valued maps [29, 30].
Basic concepts of multi-agent systems are introduced along with an algebraic background.
Since the proposed model is multi-objective, we initially refer to some concepts of multi-objective functions.
In Section 2, the definitions of COP and some relevant concepts of multi-objective optimization are given, respectively.
Since this paper deals with both the multi-objective optimization and integration of NPD and SC, a brief introduction to the concepts of multi-objective problems in supply chain and integration of NPD and SC is presented below.
The information used emerged from technicians' productivity and earned-values using the concept of multi-objective modelling approach.
By considering Figs. 9, 10 and 11, the concept of multi-objective approach can be also revealed easily.
Meanwhile, based on the concept of multi-objective optimization, how to define the fitness function of the PSO to include different performance criteria is also discussed.
The paper introduces the basic concepts of this multi-scale and multi-model approach.
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