Dynamic multi-objective optimization using evolutionary algorithms: a survey
Abstract Dynamic Multi-objective Optimization is a challenging research topic since the
objective functions, constraints, and problem parameters may change over time. Although …
objective functions, constraints, and problem parameters may change over time. Although …
Decision-Maker's Preference-Driven Dynamic Multi-Objective Optimization
AR Adekoya, M Helbig - Algorithms, 2023 - mdpi.com
Dynamic multi-objective optimization problems (DMOPs) are optimization problems where
elements of the problems, such as the objective functions and/or constraints, change with …
elements of the problems, such as the objective functions and/or constraints, change with …
Merging preferences into the best solution seeking for many-objective optimization problems
J Yang, X Xia, XL Wang, Q Jiang, K Xing - Expert Systems with Applications, 2024 - Elsevier
Finding out a best solution of the multi-objective optimization problem (MOP) or many-
objective optimization problem (MaOP) in the user's view, is a significant and practical …
objective optimization problem (MaOP) in the user's view, is a significant and practical …
An optimization algorithm for locomotive secondary spring load adjustment based on artificial immune
D Pan, M Wang, Y Zhu, K Han - Journal of Central South University, 2013 - Springer
In order to control the locomotive wheel (axle) load distribution, a shimming process to
adjust the locomotive secondary spring loads was heretofore developed. An immune …
adjust the locomotive secondary spring loads was heretofore developed. An immune …