This study proposes a novel bioinspired metaheuristic simulating how the coronavirus
spreads and infects healthy people. From a primary infected individual (patient zero), the …

The scheduling problems with controllable processing times (CPT) are commonly
encountered in some manufacturing industries. CPT means the processing times of …

This paper introduces a new swarm intelligence strategy, anti-coronavirus optimization
(ACVO) algorithm. This algorithm is a multi-agent strategy, in which each agent is a person …

Optimization algorithms are widely used to solve large and complex optimization problems.
In this paper, a human intelligence-based optimization technique, an adaptive chaotic class …

This work proposes a metaphor-less and algorithm-specific parameter-less algorithm,
named as self-adaptive population Rao algorithm, for solving the single-, multi-, and many …

The advent of the cloud computing paradigm has enabled innumerable organizations to
seamlessly migrate, compute, and host their applications within the cloud environment …

This paper considers the synthesis of the four-bar mechanism. It is treated here as an
optimization problem, in which an objective function is defined. To solve this problem, a …

The ongoing pandemic due to novel coronavirus disease-2019 (COVID-19) has rapidly
unsettled the health sector with a considerable fatality rate. The main factors that help …

This paper describes a unique meta-heuristic technique for hybridizing bio-inspired heuristic
algorithms. The technique is based on altering the state of agents using a logistic probability …

In this paper, we propose a simple global optimisation algorithm inspired by Pareto's
principle. This algorithm samples most of its solutions within prominent search domains and …