A novel dynamic multiobjective optimization algorithm with hierarchical response system
In this article, a novel dynamic multiobjective optimization algorithm (DMOA) is proposed
based on a designed hierarchical response system (HRS). Named HRS-DMOA, the …
based on a designed hierarchical response system (HRS). Named HRS-DMOA, the …
A multi-objective operation optimization method for dynamic control of reservoir water level in evolving flood season environments
L Zhang, Z Feng, X Yao, W Niu, Y Wang, L Mo - Journal of Hydrology, 2024 - Elsevier
Current multi-objective optimization methods, traditionally rooted in static models, often
neglect uncertainties and environmental interactions such as forecast accuracy and …
neglect uncertainties and environmental interactions such as forecast accuracy and …
A dynamic multi-objective optimization evolutionary algorithm with adaptive boosting
H Peng, J Xiong, C Pi, X Zhou, Z Wu - Swarm and Evolutionary …, 2024 - Elsevier
Dynamic multi-objective optimization problems (DMOPs) are prevalent in the real world,
where the challenge in solving DMOPs is how to track the time-varying Pareto-optimal front …
where the challenge in solving DMOPs is how to track the time-varying Pareto-optimal front …
A dynamic multi-objective evolutionary algorithm based on genetic engineering and improved particle swarm prediction strategy
Y Yang, Y Ma, Y Zhao, W Zhang, Y Wang - Information Sciences, 2024 - Elsevier
Evolutionary and particle swarm optimisation (PSO) algorithms are widely used to solve
various optimisation problems. However, both methods have limitations when applied to …
various optimisation problems. However, both methods have limitations when applied to …
A dynamic multi-objective evolutionary algorithm based on Mahalanobis distance and intra-cluster individual correlation rectification
F Ge, X Hou, D Chen, L Shen, H Liu - Information Sciences, 2024 - Elsevier
Responding quickly and accurately to environmental changes is a challenge in addressing
dynamic multi-objective optimization problems (DMOPs). Although many dynamic multi …
dynamic multi-objective optimization problems (DMOPs). Although many dynamic multi …
A Micro Dynamic Multi-objective Evolutionary Algorithm for Small-scale Smart Greenhouse with Low-power Microprocessor
Smart greenhouse is a modern agricultural facility that integrates smart control systems to
regulate the plant growth environment through advanced intelligent technology and devices …
regulate the plant growth environment through advanced intelligent technology and devices …
Dynamic multi-objective optimization based on classification response of decision variables
J Li, R Liu, R Wang - Information Sciences, 2025 - Elsevier
In recent years, many dynamic multi-objective optimization algorithms (DMOAs) have been
proposed to address dynamic multi-objective optimization problems (DMOPs). Most existing …
proposed to address dynamic multi-objective optimization problems (DMOPs). Most existing …
A Hybrid Response Strategy for Dynamic Constrained Multi-objective Optimization
Multi-objective optimization problems are widely present in the real world. When the
objective functions of these problems change over time and are subject to constrained …
objective functions of these problems change over time and are subject to constrained …