Abstract Marine Predators Algorithm (MPA) is a recent nature-inspired optimizer stemmed
from widespread foraging mechanisms based on Lévy and Brownian movements in ocean …

This paper introduces a new metaphor-free metaheuristic called attack-leave optimizer
(ALO). As the name suggests, ALO deploys two strategies to find the optimal solution. The …

This paper presented a new metaheuristic technique, namely the guided pelican algorithm
(GPA). GPA has the improvements for a shortcoming algorithm, namely the pelican …

This research introduced a novel simple metaheuristic called as total interaction algorithm
(TIA). TIA is a swarm intelligence which relies on the interaction among solutions in the …

This work offers a new stochastic optimization ie, a metaheuristic algorithm combining both
directionbased search and neighbourhood search called as walk-spread algorithm (WSA) …

This paper promotes a new swarm-based metaheuristic called four directed search
algorithm or FDSA. FDSA is designed as a directed search-based metaheuristic without …

Many countries are switched to electric vehicles (EVs) for public transportation, which
increases the adoption of electric buses. Batteries are the key component in battery …

In this paper, we propose a new metaheuristic algorithm named the Hybrid Average
Subtraction and Standard Deviation based Optimizer (HASSO) to solve the optimization …

Recently, research into the development of hybrid and electric vehicles has been vigorously
undertaken, indicating a trend toward the replacement of internal combustion engine …

Order allocation problem is a crucial problem in the manufacturing system. Many studies
have been carried out to overcome this problem. On the other hand, future studies related to …