tailieunhanh - A new non-dominated sorting ions motion algorithm: Development and applications

This paper aims a novel and a useful multi-objective optimization approach named Non- Dominated Sorting Ions Motion Algorithm (NSIMO) built on the search procedure of Ions Motion Algorithm (IMO). | A new non-dominated sorting ions motion algorithm Development and applications Decision Science Letters 9 2020 59 76 Contents lists available at GrowingScience Decision Science Letters homepage dsl A new non-dominated sorting ions motion algorithm Development and applications Hitarth Bucha b and Indrajit N Trivedic aGujarat Technological University Visat Gandhinagar Road Ahmedabad 382424 India b Government Engineering College Mavdi Kankot Road Rajkot 360005 India c Government Engineering College 382028 Gandhinagar 382028 India CHRONICLE ABSTRACT Article history This paper aims a novel and a useful multi-objective optimization approach named Non- Received March 23 2019 Dominated Sorting Ions Motion Algorithm NSIMO built on the search procedure of Ions Received in revised format Motion Algorithm IMO . NSIMO uses selective crowding distance and non-dominated sorting August 12 2019 method to obtain various non-domination levels and preserve diversity amongst the best set of Accepted August 12 2019 Available online solutions. The suggested technique is employed to various multi-objective benchmark functions August 12 2019 having different characteristics like convex concave multimodal and discontinuous Pareto Keywords fronts. The recommended method is analyzed on different engineering problems having distinct Multi-objective Optimization features. The results of the proposed approach are compared with other well-regarded and novel Non-dominated Sorting algorithms. Furthermore we present that the projected method is easy to implement capable of Ions Motion algorithm producing a nearly true Pareto front and algorithmically inexpensive. 2020 by the authors licensee Growing Science Canada. 1. Introduction Optimization process helps us find the best value or optimum solution. The optimization process looks for finding the minimum or maximum value for single or multiple objectives. Multi-objective optimization MOO refers to optimizing various .

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• Multi objective Optimization
• Non dominated Sorting
• Ions Motion algorithm
• Non Dominated Sorting Ions Motion Algorithm
• Non dominated sorting method
• Multi objective benchmark function
• Multiobjective optimization
• Particle Swarm Optimization
• PID controller
• AVR system
• PID tuning optimization algorithms
• Multiobjective optimization in delivering pharmaceutical products
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• Disrupted vehicle routing problem
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• Nonsmooth semi infinite
• Generalized convexity
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• D type I n set functions
• Duality results
• Multiobjective nonlinear fractional programming problem
• Optimization problems
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• Scalarization function
• Stable problem
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• Multiobjective optimization problems
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• Strict minimizers
• Second order dualit
• Mond Weir type dual
• Non differentiable multiobjective optimization problem
• Information sciences
• Multiobjective combinatorial optimization problems
• Well spread set
• Well spread non dominated points
• State of the art
• Nonsmooth multiobjective programming
• Optimality conditions
• Mixed dualit
• Dynamic Optimization
• Neural Network
• Algorithm Convergence
• Ant Programming
• Green Manufacturing
• Colony Algorithms
• Electronic Engineering
• Distributed Generation
• Fuzzy decision
• Pareto solution
• Self adaptation genetic algorithm
• Optimizing turning process
• Genetic algorithm
• Pareto optimal
• Optimization solution
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• Using Multiobjective
• Multicriteria Analysis
• Open AccessMeta Heuristic
• Optimization Techniques
• Heuristic Algorithms
• Geometric programming
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• Fuzzy optimization technique
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