Multi-objective optimization problems with Fuzzy relation equation constraints regarding max-average composition

Average Composition ◽

Fuzzy Relation Equation ◽

Multi-objective optimization problems with fuzzy relation equation constraints

Fuzzy Sets and Systems ◽

10.1016/s0165-0114(01)00052-5 ◽

2002 ◽

Vol 127 (2) ◽

pp. 141-164 ◽

Cited By ~ 72

Author(s):

Jiranut Loetamonphong ◽

Shu-Cherng Fang ◽

Robert E. Young

Keyword(s):

Optimization Problems ◽

Fuzzy Relation ◽

Fuzzy Relation Equation ◽

Solving nonlinear optimization problems subjected to fuzzy relation equation constraints with max–average composition using a modified genetic algorithm

Computers & Industrial Engineering ◽

10.1016/j.cie.2007.11.011 ◽

2008 ◽

Vol 55 (1) ◽

pp. 1-14 ◽

Cited By ~ 23

Author(s):

Esmaile Khorram ◽

Reza Hassanzadeh

Keyword(s):

Genetic Algorithm ◽

Nonlinear Optimization ◽

Optimization Problems ◽

Fuzzy Relation ◽

Average Composition ◽

Fuzzy Relation Equation ◽

Modified Genetic Algorithm

Solving nonlinear multi-objective optimization problems with fuzzy relation inequality constraints regarding Archimedean triangular norm compositions

Fuzzy Optimization and Decision Making ◽

10.1007/s10700-012-9129-6 ◽

2012 ◽

Vol 11 (3) ◽

pp. 299-335 ◽

Cited By ~ 13

Author(s):

E. Khorram ◽

R. Ezzati ◽

Z. Valizadeh

Keyword(s):

Optimization Problems ◽

Inequality Constraints ◽

Fuzzy Relation ◽

Triangular Norm ◽

Multi Objective ◽

Fuzzy Relation Inequality

Spiral water cycle algorithm for solving multi-objective optimization and truss optimization problems

Engineering With Computers ◽

10.1007/s00366-020-01237-y ◽

2021 ◽

Author(s):

Heba F. Eid ◽

Laura Garcia-Hernandez ◽

Ajith Abraham

Keyword(s):

Optimization Problems ◽

Water Cycle ◽

Truss Optimization ◽

Water Cycle Algorithm ◽

Finding Influential Variables in Multi-Objective optimization Problems

2020 IEEE Symposium Series on Computational Intelligence (SSCI) ◽

10.1109/ssci47803.2020.9308383 ◽

2020 ◽

Author(s):

Henrik Smedberg ◽

Sunith Bandaru

Keyword(s):

Optimization Problems ◽

Pareto-Optimal Equilibrium Points in non-Cooperative Multi-Objective Optimization Problems

Expert Systems with Applications ◽

10.1016/j.eswa.2021.114995 ◽

2021 ◽

pp. 114995

Author(s):

Mohammadali Saniee Monfared ◽

Sayyed Ehsan Monabbati ◽

Atefeh Rajabi Kafshgar

Keyword(s):

Optimization Problems ◽

Equilibrium Points ◽

Pareto Optimal ◽

Feature Information Prediction Algorithm for Dynamic Multi-objective Optimization Problems

European Journal of Operational Research ◽

10.1016/j.ejor.2021.01.028 ◽

2021 ◽

Author(s):

Xuemin Ma ◽

Jingming Yang ◽

Hao Sun ◽

Ziyu Hu ◽

Lixin Wei

Keyword(s):

Optimization Problems ◽

Prediction Algorithm ◽

Multi Objective ◽

Feature Information

Injecting domain knowledge in multi-objective optimization problems: A semantic approach

Computer Standards & Interfaces ◽

10.1016/j.csi.2021.103546 ◽

2021 ◽

pp. 103546

Author(s):

Cristóbal Barba-González ◽

Antonio J. Nebro ◽

José García-Nieto ◽

María del Mar Roldán-García ◽

Ismael Navas-Delgado ◽

...

Keyword(s):

Domain Knowledge ◽

Optimization Problems ◽

Semantic Approach ◽

Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion ◽

Visual mapping of multi-objective optimization problems and evolutionary algorithms

10.1145/3377929.3398104 ◽

2020 ◽

Author(s):

Kohei Yamamoto ◽

Tomoaki Takagi ◽

Keiki Takadama ◽

Hiroyuki Sato

Keyword(s):

Evolutionary Algorithms ◽

Optimization Problems ◽

Multi Objective ◽

Visual Mapping

Solving Mixed Pareto-Lexicographic Multi-Objective Optimization Problems: The Case of Priority Levels

IEEE Transactions on Evolutionary Computation ◽

10.1109/tevc.2021.3068816 ◽

2021 ◽

pp. 1-1

Author(s):

Leonardo Lai ◽

Lorenzo Fiaschi ◽

Marco Cococcioni ◽

Kalyanmoy Deb

Keyword(s):

Optimization Problems ◽

Multi Objective ◽

Priority Levels