This study introduces the evolutionary multi-objective version of seagull optimization
algorithm (SOA), entitled Evolutionary Multi-objective Seagull Optimization Algorithm …

动态多目标优化问题(Dynamic multi-objective optimization problems, DMOPs)
已成为工程优化的研究热点, 其目标函数, 约束函数和相关参数都可能随时间不断变化 …

In this paper, we propose a novel hybrid fuzzy–metaheuristic approach with the aim of
overcoming premature convergence when solving multimodal single and multi-objective …

Many real-world multiple-objective optimization problems have objectives that change over
time. These multiple-objective optimization problems are called dynamic multiple-objective …

Dynamic multiobjective optimization problems (DMOPs) have received increasing attention
in the evolutionary community in recent years. The problem environment of a DMOP …

In this article, a novel fuzzy-based dynamic multiobjective evolutionary algorithm is
presented. In this article, giving a valid and true response to the change is an essential task …

The smart city is an idea of upcoming revolution in cities, which includes smart home, smart
mobility, smart living, and smart environment that can be operated using a smartphone …

The primary goal of the Internet of things (IoT) is to provide people with anywhere services in
real life. But intelligent IoT shouldn't only provide services, but also consider how to allocate …

In dynamic multiobjective optimization, the Pareto front (PF) or Pareto set varies over time as
the problem environment changes. In such scenarios, optimization algorithms are required …

In this research, an immune inspired multi-agent system (IMAS) is proposed to solve
optimization problems in dynamic and multi-objective environments. The proposed IMAS …