In this paper, a new nature-inspired human-based optimization algorithm is proposed which
is called coronavirus herd immunity optimizer (CHIO). The inspiration of CHIO is originated …

In this study, a novel metaheuristic algorithm, namely, carnivorous plant algorithm (CPA),
inspired by how the carnivorous plants adapting to survive in the harsh environment, was …

The Lemur Optimizer (LO) is a novel nature-inspired algorithm we propose in this paper.
This algorithm's primary inspirations are based on two pillars of lemur behavior: leap up and …

Abstract Social Group Optimization (SGO), developed by Satapathy et al. in the year 2016, is
a class of meta-heuristic optimization inspired by social behavior. It has two phases …

Contemporary real-world optimization benchmarks are subject to many constraints and are
often high-dimensional problems. Typically, such problems are expensive in terms of …

Biogeography-based optimization (BBO) is an evolutionary optimization algorithm that uses
migration to share information among candidate solutions. One limitation of BBO is that it …

This paper proposes new versions of Harris Hawks Optimizer (HHO) incorporated the
survival-of-the-fittest principle of evolutionary algorithms. HHO is the recent swarm-based …

Over the past few years, differential evolution (DE) is generally considered as a reliable,
accurate and robust population-based evolutionary algorithm (EA). It is capable of handling …

This paper proposes a multi-population adaptive version of inflationary differential evolution
algorithm. Inflationary differential evolution algorithm (IDEA) combines basic differential …

In evolutionary computation, systematically structuring the population is used to manage the
evolution process. Thus controlling the amount of diversity during the algorithm search …