Mixed-discrete fuzzy multiobjective programming for engineering optimization using hybrid genetic algorithm

Journal article

Peer reviewed

Singiresu S RAO and YING YING XIONG

AIAA journal, Vol.43(7), pp.1580-1590

2005

Abstract

Solid mechanics

Fundamental areas of phenomenology (including applications)

Structural and continuum mechanics

Physics

Static elasticity (thermoelasticity...)

Exact sciences and technology

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Citation topics: 4 Electrical Engineering, Electronics & Computer Science; 4.61 Artificial Intelligence & Machine Learning; 4.61.56 Fuzzy Sets
Web Of Science research areas: Engineering, Aerospace
ESI research areas: Engineering

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Title: Mixed-discrete fuzzy multiobjective programming for engineering optimization using hybrid genetic algorithm
Creators: Singiresu S RAO - University of Miami, Coral Gables, Florida 33124-0624, United States
YING YING XIONG - University of Miami, Coral Gables, Florida 33124-0624, United States
Publication Details: AIAA journal, Vol.43(7), pp.1580-1590
Publisher: American Institute of Aeronautics and Astronautics; Reston, VA
Academic Unit: College of Engineering; CoE - Mechanical & Aerospace Engineering
Language: English
Resource Type: Journal article
Record Identifier: 991031577102802976