Multi-objective optimization of ship structures: Using guided search vs. conventional concurrent optimization

2009 ◽  
pp. 471-480
Keyword(s):  
Multi Objective Optimization ◽  
Ship Structures ◽  
Guided Search ◽  
Multi Objective ◽  
Concurrent Optimization

scholarly journals A Survey on Multi Objective Optimization Challenges in Swarm Intelligence

2021 ◽  
pp. 121-129
Author(s):  
Rich Caruana ◽  
Yin Lou
Keyword(s):  
Swarm Intelligence ◽  
Real Life ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Automobile Design ◽  
Concurrent Optimization ◽  
Wide Range ◽  
Application Optimization ◽  
Single Objective ◽  
Typical Scenario

Various challenges in real life are multi-objective and conflicting (i.e., alter concurrent optimization). This implies that a single objective is optimized based on another’s cost. The Multi-Objective Optimization (MOO) issues are challenging but potentially realistic, and due to their wide-range application, optimization challenges have widely been analyzed by research with distinct scholarly bases. Resultantly, this has yielded distinct approaches for mitigating these challenges. There is a wide-range literature concerning the approaches used to handle MOO challenges. It is important to keep in mind that each technique has its pros and limitations, and there is no optimum alternative for cure searchers in a typical scenario. The MOO challenges can be identified in various segments e.g., path optimization, airplane design, automobile design and finance, among others. This contribution presents a survey of prevailing MOO challenges and swarm intelligence approaches to mitigate these challenges. The main purpose of this contribution is to present a basis of understanding on MOO challenges.

Synchronous R-NSGA-II: An Extended Preference-Based Evolutionary Algorithm for Multi-Objective Optimization

Informatica ◽  
2015 ◽  
Vol 26 (1) ◽  
pp. 33-50 ◽  
Author(s):  
Ernestas Filatovas ◽  
Olga Kurasova ◽  
Karthik Sindhya
Keyword(s):  
Evolutionary Algorithm ◽  
Multi Objective Optimization ◽  
Nsga Ii ◽  
Multi Objective

A Heuristic Method Based on Multi-Objective Optimization Concept for Solving RNA Multiple Alignment

2017 ◽  
Vol 10 (5) ◽  
pp. 371
Author(s):  
Arakil Chentoufi ◽  
Abdelhakim El Fatmi ◽  
Molay Ali Bekri ◽  
Said Benhlima ◽  
Mohamed Sabbane
Keyword(s):  
Heuristic Method ◽  
Multiple Alignment ◽  
Multi Objective Optimization ◽  
Multi Objective
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