This study introduces a novel population-based metaheuristic algorithm called secretary bird
optimization algorithm (SBOA), inspired by the survival behavior of secretary birds in their …

In this article, a new human-based metaheuristic algorithm named Dollmaker Optimization
Algorithm (DOA) is introduced, which imitates the strategy and skill of the dollmaker when …

This paper investigates a multi-objective job shop scheduling problem with manual loading
and unloading tasks (MOJSSPLU) aiming to minimize makespan and total workload …

This paper proposes a metaheuristic algorithm, called advanced differential evolution (ADE),
by improving the DE algorithm. The ADE algorithm was developed with the goal of creating …

The artificial hummingbird algorithm (AHA) is a recently introduced versatile metaheuristic
optimizer that simulates flight patterns and intelligent foraging skills of hummingbirds. It has …

This study presents a powerful and new modeling variant of bio-inspired algorithms, namely,
the Ivy algorithm (IVYA), drawn from the growth patterns of Ivy plants. The algorithm …

Metaheuristic algorithms offer numerous advantages, such as their ability to address a wide
range of problems without the need for specific problem formulations or gradient information …

Optimization techniques play a pivotal role in enhancing the performance of engineering
components across various real-world applications. Traditional optimization methods are …

Pathfinder algorithm (PFA) is a swarm intelligent optimization algorithm inspired by the
collective activity behavior of swarm animals, imitating the leader in the population to guide …

Recently, wireless sensor networks have been widely used for environmental and structural
safety monitoring. However, node batteries cannot be replaced or easily recharged in harsh …