Particle swarm optimization (PSO) is one of the most well-regarded swarm-based algorithms
in the literature. Although the original PSO has shown good optimization performance, it still …

Whale optimization algorithm (WOA) is a recently developed swarm-based meta-heuristic
algorithm that is based on the bubble-net hunting maneuver technique—of humpback …

Complexity and variety of modern multiobjective optimisation problems result in the
emergence of numerous search techniques, from traditional mathematical programming to …

This work proposes a new multi-objective algorithm inspired from the navigation of grass
hopper swarms in nature. A mathematical model is first employed to model the interaction of …

Due to the novelty of the Grey Wolf Optimizer (GWO), there is no study in the literature to
design a multi-objective version of this algorithm. This paper proposes a Multi-Objective …

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 paper presents the application of a new Shrimp and Goby Association Search algorithm
(SGA) to solve large-scale global optimization problems. The performance of SGA is …

Recently, the Slime mould algorithm (SMA) was proposed to solve the single-objective
optimization problems. It is considered as a strong algorithm for its efficient global search …

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 …

Taking both convergence and diversity into consideration, this paper suggests a vector
angle-based evolutionary algorithm for unconstrained (with box constraints only) many …