Results 51 to 60 of about 122,352 (134)

Production Planning with The Neutrosophic Fuzzy Multi-Objective Optimization Technique [PDF]

Neutrosophic Sets and Systems
Businesses want to realize their production at the desired time and quality. In addition, businesses aim to use their existing resources efficiently and increase their earnings.
Şule Bayazit Bedirhanoğlu, Mahmut Atlas   +1 more
doaj   +1 more source

Multi-objective path optimization for arc welding robot based on discrete DN multi-objective particle swarm optimization

International Journal of Advanced Robotic Systems, 2019
Rational weld seams sequence is important for improving welding productivity and quality. Hence, intelligent path optimization strategy is introduced to obtain optimized weld seams sequence in this article.
Wang Xue-Wu, Min Yong, Gu Xing-sheng
doaj   +1 more source

Single-objective and multi-objective optimization using the HUMANT algorithm

Croatian Operational Research Review, 2015
When facing a real world, optimization problems mainly become multi-objective i.e. they have several criteria of excellence. A multi-criteria problem submitted for multi-criteria evaluation is a complex problem, as usually there is no optimal solution ...
Marko Mladineo, Ivica Veža, Nikola Gjeldum   +2 more
doaj   +1 more source

Evolutionary Multi-Objective Robust Optimization

, 2008
This work presented and tested an optimization procedure that takes into account robustness in multi-objective optimization. It was shown that the method is able to deal with different types of problems and with different degrees of complexity. The extension of the robust Pareto frontier can be controlled by the Decision Maker by making use of a ...
Ferreira, J., Fonseca, C., Covas, J. A., Gaspar-Cunha, A.   +3 more
openaire   +4 more sources

Towards fairness-aware multi-objective optimization

Complex & Intelligent Systems
Recent years have seen the rapid development of fairness-aware machine learning in mitigating unfairness or discrimination in decision-making in a wide range of applications.
Guo Yu, Lianbo Ma, Xilu Wang, Wei Du, Wenli Du, Yaochu Jin   +5 more
doaj   +1 more source

A Comprehensive Analysis on Enhancing Multi-Objective Evolutionary Algorithms Using Chaotic Dynamics and Dominant Relationship-Based Search Strategies

IEEE Access
In optimization and decision-making, multi-objective optimization has emerged as a pivotal challenge. Over the past three decades, the concerted efforts of scholars and practitioners across various disciplines have significantly advanced the study and ...
Zitong Wang, Yan Pei, Jianqiang Li
doaj   +1 more source

Elite Multi-Criteria Decision Making—Pareto Front Optimization in Multi-Objective Optimization

Algorithms
Optimization is a process of minimizing or maximizing a given objective function under specified constraints. In multi-objective optimization (MOO), multiple conflicting functions are optimized within defined criteria.
Adarsh Kesireddy, F. Antonio Medrano
doaj   +1 more source

Evolutionary Multi-objective Diversity Optimization

Comment: 12 pages, 3 figures, 3 ...
Anh Viet Do, Mingyu Guo, Aneta Neumann, Frank Neumann   +3 more
openaire   +2 more sources

Multi-Objective Optimization of Smart Grid Based on Ant Colony Algorithm

Electrica, 2022
Zhongsheng Shi, Rajiv Kumar, Ravi Tomar
doaj   +1 more source

Offline Multi-Objective Optimization

Offline optimization aims to maximize a black-box objective function with a static dataset and has wide applications. In addition to the objective function being black-box and expensive to evaluate, numerous complex real-world problems entail optimizing multiple conflicting objectives, i.e., multi-objective optimization (MOO). Nevertheless, offline MOO
Xue, Ke, Tan, Rong-Xi, Huang, Xiaobin, Qian, Chao   +3 more
openaire   +2 more sources