Self-adaptive multi-objective teaching-learning-based optimization and its application in ethylene cracking furnace operation optimization

2015 ◽  
Vol 146 ◽  
pp. 198-210 ◽  
Author(s):  
Kunjie Yu ◽  
Xin Wang ◽  
Zhenlei Wang
Keyword(s):  
Furnace Operation ◽  
Operation Optimization ◽  
Multi Objective ◽  
Teaching Learning Based Optimization ◽  
Teaching Learning ◽  
Ethylene Cracking Furnace ◽  
Self Adaptive

scholarly journals Enhanced Multi-Objective Teaching-Learning-Based Optimization for Machining of Delrin

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 51528-51546 ◽  
Author(s):  
Elango Natarajan ◽  
Varadaraju Kaviarasan ◽  
Wei Hong Lim ◽  
Sew Sun Tiang ◽  
Teng Hwang Tan
Keyword(s):  
Multi Objective ◽  
Teaching Learning Based Optimization ◽  
Teaching Learning

scholarly journals Optimization using evolutionary metaheuristic techniques: a brief review

2018 ◽  
Vol 15 (1) ◽  
pp. 44-53 ◽  
Author(s):  
Sajja Radhika ◽  
Aparna Chaparala
Keyword(s):  
Optimization Problems ◽  
Real Life ◽  
Multi Objective Optimization ◽  
Swarm Optimization ◽  
Multi Objective ◽  
Life Problems ◽  
Evolutionary Metaheuristic ◽  
Teaching Learning Based Optimization ◽  
Metaheuristic Techniques ◽  
Teaching Learning

Optimization is necessary for finding appropriate solutions to a range of real life problems. Evolutionary-approach-based meta-heuristics have gained prominence in recent years for solving Multi Objective Optimization Problems (MOOP). Multi Objective Evolutionary Approaches (MOEA) has substantial success across a variety of real-world engineering applications. The present paper attempts to provide a general overview of a few selected algorithms, including genetic algorithms, ant colony optimization, particle swarm optimization, and simulated annealing techniques. Additionally, the review is extended to present differential evolution and teaching-learning-based optimization. Few applications of the said algorithms are also presented. This review intends to serve as a reference for further work in this domain.

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