A perturbation adaptive pursuit strategy based hyper-heuristic for multi-objective optimization problems

Multi Objective ◽

Pursuit Strategy

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

Evolving Dynamic Multi-Objective Optimization Problems with Objective Replacement

Artificial Intelligence Review ◽

10.1007/s10462-004-5900-6 ◽

2005 ◽

Vol 23 (3) ◽

pp. 267-293 ◽

Cited By ~ 31

Author(s):

SHENG-UEI GUAN ◽

QIAN CHEN ◽

WENTING MO

Keyword(s):

Optimization Problems ◽

Memetic algorithm with Preferential Local Search using adaptive weights for multi-objective optimization problems

Soft Computing ◽

10.1007/s00500-015-1593-9 ◽

2015 ◽

Vol 20 (4) ◽

pp. 1365-1388 ◽

Cited By ~ 13

Author(s):

J. Bhuvana ◽

Chandrabose Aravindan

Keyword(s):

Local Search ◽

Memetic Algorithm ◽

Optimization Problems ◽

Adaptive Weights ◽

A New Gradient Free Local Search Mechanism for Constrained Multi-objective Optimization Problems

Swarm and Evolutionary Computation ◽

10.1016/j.swevo.2021.100938 ◽

2021 ◽

pp. 100938

Author(s):

Lourdes Uribe ◽

Adriana Lara ◽

Kalyanmoy Deb ◽

Oliver Schütze

Keyword(s):

Local Search ◽

Optimization Problems ◽

Multi Objective ◽

Search Mechanism