A survey of multi-population optimization algorithms for tracking the moving optimum in dynamic environments
The solution spaces of many real-world optimization problems change over time. Such
problems are called dynamic optimization problems (DOPs), which pose unique challenges …
problems are called dynamic optimization problems (DOPs), which pose unique challenges …
E-procurement optimization in supply chain: A dynamic approach using evolutionary algorithms
The increasing dynamism of global markets, coupled with the occurrence of unpredictable
events, has introduced substantial challenges in formulating efficient supply chain …
events, has introduced substantial challenges in formulating efficient supply chain …
A dynamic multi-objective optimization algorithm with a dual mechanism based on prediction and archive
M Wang, B Li, G Dai, Z Song, X Chen, Q Bao… - Swarm and Evolutionary …, 2024 - Elsevier
In the dynamic multi-objective optimization problems, if the environmental changes are
detected, an appropriate response strategy be employed to respond quickly to the change …
detected, an appropriate response strategy be employed to respond quickly to the change …
Integrating machine learning with dynamic multi-objective optimization for real-time decision-making
Real-time decision-making in dynamic multi-objective optimization problems (DMOPs) is
challenging due to constantly changing objectives and constraints. This paper integrates …
challenging due to constantly changing objectives and constraints. This paper integrates …
Exploring Evolution for Aesthetic & Abstract 3D Art
R Murali, V Avudaiappan - Proceedings of the Genetic and Evolutionary …, 2024 - dl.acm.org
Generating 3D objects to produce art that diverges from conventional or existing artistic
patterns is a major challenge. Given the growing prevalence of three-dimensional (3D) art in …
patterns is a major challenge. Given the growing prevalence of three-dimensional (3D) art in …