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 .
