A review of multi-objective optimisation and decision making using evolutionary algorithms

AbstractThe paper presents a framework for optimising a sailing yacht rig using Multi-objective Evolutionary Algorithms and for filtering obtained solutions by means of a Multi-criteria Decision Making method. A Bermuda sloop with discontinuous rig is taken under consideration as a model rig configuration. It has been decomposed into its elements and described by a set of control parameters to form a responsive model which can be used for optimisation purposes. Considering the contradictory nature of real optimisation objectives, a multi-objective approach has been chosen to address this issue. Once the optimisation process is over, a Multi-criteria Decision Making method based on a w-dominance relation is applied for filtering out the most interesting solutions from the obtained Pareto set. The proposed method has been implemented, and selected results are provided and discussed.

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A review of multi-objective optimisation and decision making using evolutionary algorithms

International Journal of Bio-Inspired Computation ◽

10.1504/ijbic.2019.10022776 ◽

2019 ◽

Vol 14 (2) ◽

pp. 69

Author(s):

Pavan Chakraborty ◽

Muneendra Ojha ◽

Krishna Pratap Singh ◽

Shekhar Verma

Keyword(s):

Decision Making ◽

Evolutionary Algorithms ◽

Multi Objective

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A Highly Efficient and Optimised Simulation Based Multi objective Decision-Making for FMS Control

International Journal of Emerging Research in Management and Technology ◽

10.23956/ijermt.v6i6.254 ◽

2018 ◽

Vol 6 (6) ◽

pp. 98

Author(s):

Shreyanshu Parhi ◽

S. C. Srivastava

Keyword(s):

Decision Making ◽

Real Time ◽

Manufacturing Industry ◽

Simulation Software ◽

Shop Floor ◽

Simulation Tool ◽

Routing Flexibility ◽

Decision System ◽

Multi Objective ◽

Arena Simulation

Optimized and efficient decision-making systems is the burning topic of research in modern manufacturing industry. The aforesaid statement is validated by the fact that the limitations of traditional decision-making system compresses the length and breadth of multi-objective decision-system application in FMS. The bright area of FMS with more complexity in control and reduced simpler configuration plays a vital role in decision-making domain. The decision-making process consists of various activities such as collection of data from shop floor; appealing the decision-making activity; evaluation of alternatives and finally execution of best decisions. While studying and identifying a suitable decision-making approach the key critical factors such as decision automation levels, routing flexibility levels and control strategies are also considered. This paper investigates the cordial relation between the system ideality and process response time with various prospective of decision-making approaches responsible for shop-floor control of FMS. These cases are implemented to a real-time FMS problem and it is solved using ARENA simulation tool. ARENA is a simulation software that is used to calculate the industrial problems by creating a virtual shop floor environment. This proposed topology is being validated in real time solution of FMS problems with and without implementation of decision system in ARENA simulation tool. The real-time FMS problem is considered under the case of full routing flexibility. Finally, the comparative analysis of the results is done graphically and conclusion is drawn.

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