Fast GA-based project scheduling for computing resources allocation in a cloud manufacturing system

YK Lin, CS Chong - Journal of Intelligent Manufacturing, 2017 - Springer
Cloud manufacturing is becoming an increasingly popular enterprise model in which
computing resources are made available on-demand to the user as needed. Cloud …

[PDF][PDF] Review, design, optimization and stability analysis of fractional-order PID controller

A Soukkou, MC Belhour, S Leulmi - International Journal of …, 2016 - mecs-press.net
This paper will establish the importance and significance of studying the fractional-order
control of nonlinear dynamical systems. The foundation and the sources related to this …

Fodder composition optimization using modified genetic algorithm

VN Wijayaningrum… - Indonesian Journal of …, 2019 - section.iaesonline.com
Determination of the fodder composition is a difficult process because it should
simultaneously consider several constraints, such as minimizing the total cost of feed …

Algoritma genetika untuk optimasi komposisi makanan bagi penderita hipertensi

AM Purnomo, D Werdiastu, T Raissa… - Jurnal Teknologi dan …, 2019 - jtsiskom.undip.ac.id
Hypertension can be prevented and handled by eating nutritious foods with the right
composition. The genetic algorithm can be used to optimize the food composition for people …

[PDF][PDF] Dual population genetic algorithm for solving constrained optimization problems

AJ Umbarkar, MS Joshi, PD Sheth - International Journal of …, 2015 - mecs-press.org
Dual Population Genetic Algorithm is an effective optimization algorithm that provides
additional diversity to the main population. It addresses the premature convergence problem …

[PDF][PDF] Openmp dual population genetic algorithm for solving constrained optimization problems

AJ Umbarkar, MS Joshi, PD Sheth - International Journal of …, 2015 - mecs-press.org
Dual Population Genetic Algorithm is an effective optimization algorithm that provides
additional diversity to the main population. It deals with the premature convergence problem …

Electricity tariff structures modeling for reengineering Ukrainian energy sector

N Klymenko, M Nehrey - … Conference on Artificial Intelligence and Logistics …, 2022 - Springer
The main task is to assess the current wholesale electricity tariffs in the energy market of
Ukraine, taking into account the external effects created by certain sectors of electricity …

A hybrid multi-objective optimization method for nuclear essential service water system design

K Zhou, W Cheng, Y Liu, X Chen… - Journal of Physics …, 2023 - iopscience.iop.org
Evolutionary algorithms have proven to be very successful in solving multi-objective
optimization problems (MOPs). However, their performance often deteriorates when …

Design and Implementation of Smart Hydroponics Farming for Manufacture using Novel Genetic Algorithm

M Venkatraman, R Surendran - 2023 8th International …, 2023 - ieeexplore.ieee.org
Hydroponics is a way to grow plants without using soil. This method makes use of a water-
based solvent and a mineral nutrient solution. It was demonstrated to be accurate, rapid …

Environmental Pollution from Nuclear Power Plants: Modelling for the Khmelnytskyi Nuclear Power Plant (Ukraine)

I Vasylkivskyi, V Ishchenko, O Kochan… - … Conference on Computer …, 2023 - Springer
It is known that there is emission of radionuclides during normal operation of nuclear power
plants. The paper analyses sources of radioactivity and environmental pollution for the case …