Amanote Research

Amanote Research

    RegisterSign In

Multi-Variable Optimization of HVAC System Using a Genetic Algorithm

Journal of Energy and Power Engineering
doi 10.17265/1934-8975/2014.02.013
Full Text
Open PDF
Abstract

Available in full text

Date

February 28, 2014

Authors

Unknown

Publisher

David Publishing Company


Related search

Optimization of HVAC Control System Strategy Using Two-Objective Genetic Algorithm

HVAC&R Research
2005English

Web Based Multi Product Inventory Optimization Using Genetic Algorithm

International Journal of Computer Applications
2011English

The Multi-Objective Genetic Algorithm Optimization, of a Superplastic Forming Process, Using Ansys®

MATEC Web of Conferences
Materials ScienceEngineeringChemistry
2017English

Multi-Objective Optimization of a HVAC System: Non-Dominated Sorting-Based Differential Evolution Approach

Journal of Engineering and Applied Sciences
Engineering
2019English

A Multi-Objective Genetic Algorithm for Robust Design Optimization

2005English

Power System Stabilizer Design for Multi-Machine Power System Using Genetic Algorithm

International Journal of Science and Engineering Applications
2016English

Optimization of Weights in a Multiple Classifier Handwrittenword Recognition System Using a Genetic Algorithm

Progress in Computer Vision and Image Analysis
2009English

Variable Chromosome Length Genetic Algorithm for Structural Topology Design Optimization

2004English

Quadruped Robot Leg Optimization Based on a Multi-Objective Genetic Algorithm

Mechanika
Condensed Matter Physics
2018English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2026 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy