Non-dominated Sorting Genetic
Digital Image Steganography using Non Dominated Sorting Genetic Algorithm (NSGA) within Discrete Wavelet Transform (DWT)
... Steganography is widely used technique for concealing the data. Many techniques were developed for data hiding. This paper describes new approach for data hiding which is based on discrete wavelet transform and using the ...
5
The objective design of triangular bucket for dam's spillway using Non-dominated Sorting Genetic Algorithm II: NSGA-II
... using genetic theory for ip buckets, it can be referred to studies of Azamthulla et ...constraints. Non-dominated Sorting Genetic Algorithm (NSGA) which was suggested by Srinivas and ...
9
A novel approach to multi objective OPF by a new parallel non dominated Sorting Genetic Algorithm considering diverse constraints
... elitist Non-dominated Sorting Genetic Algorithm II (NSGA- II) is used to solve the proposed multi-objective optimization problem; the parallel algorithm shows an excellent acceleration effect ...
8
Efficient Constellation Design Based on Improved Non-dominated Sorting Genetic Algorithm-II
... Abstract—Constellation design is a typical multiple peaks, multiple valleys and non-linear multi-objective optimization problem. How to design satellite constellation is one of the key sectors of research in the ...
8
MULTI-OBJECTIVE OPTIMIZATION OF LAMINATED COMPOSITE PLATE USING A NON-DOMINATED SORTING GENETIC ALGORITHM
... multi-objective genetic algorithm ...by genetic algorithm to solve stacking ...multi-objective genetic algorithm, based on the elitist non- dominated sorting genetic ...
6
Solving a New Multi-objective Inventory-Routing Problem by a Non-dominated Sorting Genetic Algorithm
... a non-dominated sorting genetic algorithm (NSGA-II) as a well-known multi-objective evolutionary algorithm is used and developed to solve a number of test ...
9
Weight and deflection optimization of Cantilever Beam using a modified Non-Dominated sorting Genetic Algorithm
... multi-objective genetic algorithm, based on the elitist non-dominated sorting genetic algorithm (NSGA-II), is implemented to obtain Pareto-optimal designs for the chosen conflicting ...
5
Solving Vehicle Routing Problem with Proposed Non Dominated Sorting Genetic Algorithm and Comparison with Classical Evolutionary Algorithms
... the non-dominated sorting is performed ...In non-dominated sorting genetic algorithm (NSGA-II) no niching parameter is required [3, ...The non dominated ...
8
Multi-Objective Optimization of a Spring Diaphragm Clutch on an Automobile Based on the Non-Dominated Sorting Genetic Algorithm (NSGA-II)
... Abstract: The weight coefficients of the diaphragm spring depend on experiences in the traditional optimization. However, this method not only cannot guarantee the optimal solution but it is also not universal. ...
9
Multi-Objective Optimal Power Flow Problem Considering Different Constraints Based on Parallel Non-Dominated Sorting Genetic Algorithm- II
... IEEE 39 bus system was used for testing Non-dominated Sorting Genetic Algorithm-II (NSGA-II) and genetic Algorithm (GA), the result were obtained. A multi-objective model is proposed in ...
10
Enhanced non-dominated sorting genetic algorithm for test case optimization
... Weight-Based Genetic Algorithm (WBGA), Fuzzy-Based Age Extension of Genetic Algorithm (FAexGA) and Non-Dominated Sorting Genetic Algorithm (NSGA ...is sorting the test ...
24
Multi-objective robust optimization model for social responsible closed-loop supply chain solved by non-dominated sorting genetic algorithm
... has non-deterministic nature, a robust programming model is developed to cope with uncertainty and the mean and standard deviation of costs are taken into ...multi-objective genetic algorithm is applied and ...
17
Non Dominated Sorting Genetic Algorithm Based Energy Aware Clustering Protocol
... results. Genetic algorithm based protocols would not ensure that the world global optimized final results however wealthy for the mutation and also crossover ...the Non dominated sorted ...
7
An ANN-based optimization model for facility layout problem using simulation Technique
... Abstract. A real manufacturing system faces lots of real-world situations, such as stochastic behaviors; the lack of attention to this issue is noticeable in the previous research. The aim of this paper is to nd the ...
14
Modified NSGA II for a Bi Objective Job Sequencing Problem
... (Non-Dominated Sorting Genetic Algorithm-II) [28] is ...and non-domination sort which assigns rank and crowding distance to each individual (chromosome) in the ...
11
Multi-objective optimization of PID controller parameters using genetic algorithm
... Chapter 5 analyzes the GCGA through several popular test problems and compares its performances with the well known Non-dominated Sorting Genetic Algorithm II (NSGA-II). This chapter also ...
23
Design of an Optimum Single Phase Inverter for a Grid Tie PV System
... by genetic algorithm (GA) is used to provide simpler and more reliable converter design for high efficiency, small size and low ...accurate non-linear averaged model was used to model the power ...Elitist ...
16
Portfolio optimization by improved NSGA-II and SPEA 2 based on different risk measures
... In this study, we analyze three portfolio selection strategies for loss-averse investors: semi-variance, conditional value-at-risk, and a combination of both risk measures. Moreover, we propose a novel version of the ...
28
Centralized Unmanned Aerial Vehicle (UAV) Mesh Networks Placement Scheme: A Multi-Objective Evolutionary Algorithm Approach
... IEEE Institute of electrical and electronics engineer MOEA Multi-objective evolutionary algorithm MOP Multi-objective optimization problem NSGA-II Non-dominated sorting genetic algorithm[r] ...
16
Solving Multi-objective Optimal Control Problems of chemical processes using Hybrid Evolutionary Algorithm
... and Non-dominated Sorting (NS) strategies , to find approximate solutions for multi- objective optimal control problems (MOCPs) ...conventional Non-dominated Sorting ...
24