Multiobjective reliability-based design optimization (RBDO) is a research area, which has
not been investigated in the literatures comparing with single-objective RBDO. This work …

The Henry Gas Solubility Optimization (HGSO) is a physics-based metaheuristic inspired by
Henry's law, which describes the solubility of the gas in a liquid under specific pressure …

This study proposes a multi-objective sparrow search algorithm (MOSSA) based on a 2k
crowding-distance entropy and the optimal strategy of the positions to solve complex multi …

This paper developed a data-driven micro-simulation optimization model to deploy charging
infrastructure for a large-scale electric bus network, considering both traditional charging …

Multiple-swarm approach is a quite successful evolutionary computation framework for multi-
objective particle swarm optimization algorithm (MOPSO) to solve multi-objective …

Recently, particle swarm optimizer (PSO) is extended to solve many-objective optimization
problems (MaOPs) and becomes a hot research topic in the field of evolutionary …

Abstract In this paper, Multi-Objective Harris Hawks Optimization (MOHHO) is proposed
based on strengthened dominance relation (SRD) to solve multi-objective optimization …

In this article, A Multi-Leaders Guided Harris Hawks optimizer using Epsilon-Dominance
relation is developed for solving multi-objective optimization problems. For this reason, the …

Multi-section continuum robots'(CRs) behavior is still an outstanding problem because of the
highly non-linearity of its equation of motions. To this end, in this paper, particle swarm …

To solve new real-world problems, many metaheuristic optimization methods have been
invented. One of these methods is called Henry gas solubility optimization (HGSO); it is a …