Notice of Retraction: Constrained multi-objective evolutionary algorithm for application decision-making in nutrition

2010 ◽  
Author(s):  
Gaoping Wang ◽  
Yanping Sun ◽  
Yueyan Chen
Keyword(s):  
Decision Making ◽  
Evolutionary Algorithm ◽  
Multi Objective ◽  
Application Decision

Knee based multimodal multi-objective evolutionary algorithm for decision making

2021 ◽  
Vol 544 ◽  
pp. 39-55
Author(s):  
Kai Zhang ◽  
Chaonan Shen ◽  
Juanjuan He ◽  
Gary G. Yen
Keyword(s):  
Decision Making ◽  
Evolutionary Algorithm ◽  
Multi Objective

A Novel Multi-Objective Evolutionary Algorithm for Portfolio Selection

2013 ◽  
Vol 347-350 ◽  
pp. 3128-3132
Author(s):  
Lin Feng Huang
Keyword(s):  
Risk Factors ◽  
Decision Making ◽  
Evolutionary Algorithm ◽  
Portfolio Selection ◽  
Knapsack Problem ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Portfolio Problem ◽  
The Relationship ◽  
Portfolio Return

Portfolio selection is a problem arising in finance and economics. While its basic formulations can be efficiently solved using linear or quadratic programming, its more practical variants have to be tackled by heuristics in many cases. In this work, both portfolio return and risk factors need to be considered, so it is abstracted as a multi-objective 0/1 knapsack problem and solved by a novel multi-objective evolutionary algorithm based on SPEA2. Experimental results show that the multi-objective optimization to solve the portfolio problem can better reveal the relationship between benefits and risks, to provide investors with a better basis for decision making.

Perancangan aplikasi multi criteria decision making dalam penerimaan beasiswa kepada dosen studi lanjut STMIK Balikpapan menggunakan metode SAW

2018 ◽  
Vol 1 (1) ◽  
pp. 35-42
Author(s):  
Muslimin B ◽  
Sumardi Sumardi
Keyword(s):  
Decision Making ◽  
Learning Process ◽  
Teaching And Learning ◽  
Teaching Assistants ◽  
Multi Criteria Decision Making ◽  
Scholarship Recipients ◽  
The Matrix ◽  
Application Decision ◽  
High Degree ◽  
New Student

 Interests and number of STMIK Balikpapan new student enrollments are increasing every year. The balance of the ratio of lecturers to students is one of the most important components in improving the quality and teaching and learning process of a university. Avoiding shortages in the number of lecturers can be realized by providing scholarship programs to alumni and teaching assistants. This study aims to build a multi criteria decision making application that can assist the Head of HRD in the process of receiving scholarships to advanced and effective study lecturers. The multi criteria decision making application developed in this study uses the SAW method. The implementation of the SAW method includes the process of evaluating the weighting of criteria, evaluating alternative weights, the matrix process, the results of decision making preferences, resulting in the weighting and ranking of each alternative candidate for the scholarship recipient. The results of the evaluation of multi-criteria application decision making in the study are expected to produce modeling with a high degree of accuracy. The results of the analysis carried out can provide alternative recommendations for prospective scholarship recipients to advanced study lecturers in STMIK Balikpapan.

Sign in / Sign up

Export Citation Format

Share Document