«non dominated sorting genetic algorithm»
۱۱۳۸ نتیجهA non-dominated sorting hybrid algorithm for multi-objective optimization of engineering problems
Among numerous multi-objective optimization algorithms, the Elitist non-dominated sorting genetic algorithm (NSGA-II) is one of the most popular methods due to its simplicity, effectiveness and minimum involvement of the user. This article develops a multi-objective variation of
A Non-Dominated Sorting Genetic Algorithm Based on Voronoi Diagram for Deployment of Wireless Sensor Networks on 3-D Terrains
The deployment strategy for wireless sensor networks (WSNs) affects the quality of service (QoS). Adopting a reasonable can improve QoS WSNs. In this paper, problem regarding node WSNs on three-dimensional (3D) terrain is modeled as multi-objective optimization problem. coverage
A Two-dimensional Warranty Model with Consideration of Customer and Manufacturer Objectives Solved with Non-dominated Sorting Genetic Algorithm
Warranty is a powerful implement for marketing strategy that is used by manufacturersand creates satisfaction for consumers by ensuring to compensate for incorrect operation of the product. Warranty serviceresults ina cost named warranty cost for a manufacturer.This cost is a fun
PENJADWALAN RUANG OPERASI RUMAH SAKIT DENGAN METODE NON-DOMINATED SORTING GENETIC ALGORITHM II (NSGA-II)
Penjadwalan operasi pasien merupakan aktifitas penting pada kegiatan operasional rumah sakit, karena menentukan waktu pasien-pasien tertangani dengan baik. Permasalahan ini dimodelkan sebagai masalah optimasi multi-obyektif yaitu meminimalkan yang digunakan saat tindakan operasi.
Application of Non-Dominated Sorting Genetic Algorithm (NSGA-II) to Increase the Efficiency of Bakery Production: A Case Study
Minimizing the makespan is an important research topic in manufacturing engineering because it accounts for significant production expenses. In bakery manufacturing, ovens are high-energy-consuming machines that run throughout time. Finding optimal combination of and oven idle ti
An Adapted Non-Dominated Sorting Genetic Algorithm III (NSGA-III) with Repair-based operator for solving Controller Placement problem in Software-Defined Wide Area Networks
Optimum controller placement in the presence of several conflicting objectives has received significant attention Software-Defined Wide Area Network (SD-WAN) deployment. Multi-objective evolutionary algorithms, like Non-dominated Sorting Genetic Algorithm II (NSGA-II) and Particl
Multi-Objective Optimization of Electric Arc Furnace Using the Non-Dominated Sorting Genetic Algorithm II
Combining classical technologies with modern intelligent algorithms, this paper introduces a new approach for the optimisation and modelling of EAF-based steel-making process based on multi-objective using evolutionary computing machine learning. Using large amount real-world his
A First Mathematical Runtime Analysis of the Non-dominated Sorting Genetic Algorithm II (NSGA-II)
The non-dominated sorting genetic algorithm II (NSGA-II) is the most intensively used multi-objective evolutionary (MOEA) in real-world applications. However, contrast to several simple MOEAs analyzed also via mathematical means, no such study exists for NSGA-II so far. In this w
A Synthesis of Pulse Influenza Vaccination Policies Using an Efficient Controlled Elitism Non-Dominated Sorting Genetic Algorithm (CENSGA)
Seasonal influenza (also known as flu) is responsible for considerable morbidity and mortality across the globe. The three recognized pathogens that cause epidemics during winter season are A, B C. virus particularly dangerous due to its mutability. Vaccines an effective tool in
Improved Adaptive Non-Dominated Sorting Genetic Algorithm With Elite Strategy for Solving Multi-Objective Flexible Job-Shop Scheduling Problem
Regarding the complicated flexible job-shop scheduling problem, it is not only required to get optimal solution of problem but also ensure low-carbon and environmental protection. Based on NSGA-II algorithm, this article proposes an improved adaptive non-dominated sorting genetic