Artificial hummingbird algorithm (AHA) is a recently developed bio-based metaheuristic and
it shows superior performance in handling single-objective optimization problems. Despite …

This paper proposes a multi-objective Slime Mould Algorithm (MOSMA), a multi-objective
variant of the recently-developed Slime Mould Algorithm (SMA) for handling the multi …

This work proposes the multi-objective version of the recently proposed Multi-Verse
Optimizer (MVO) called Multi-Objective Multi-Verse Optimizer (MOMVO). The same concepts …

This paper proposes a new multi-objective algorithm, called Multi-Objective Marine-Predator
Algorithm (MOMPA), dependent on elitist non-dominated sorting and crowding distance …

This paper proposes a new Multi-Objective Equilibrium Optimizer (MOEO) to handle
complex optimization problems, including real-world engineering design optimization …

This paper proposed a novel multi-objective non-sorted Harris Hawks Optimizer (NSHHO)
part of the recently developed Harris Hawks Optimizer (HHO) based on an elitist non …

The selection of swarm leaders (ie, the personal best and global best), is important in the
design of a multiobjective particle swarm optimization (MOPSO) algorithm. Such leaders are …

Convergence performance and parametric sensitivity are two issues that tend to be
neglected when extending differential evolution (DE) to multiobjective optimization (MO). To …

Due to the potential impact of the (currency) exchange rate risk in the financial market,
forecasting exchange rate (FET) has become a hot topic in both academic and practical …

Many multimodal multiobjective optimization algorithms aim to find as many Pareto optimal
solutions as possible while the performance in the objective space is despised. More …