In the last few years, bio-inspired optimization techniques have been widely adopted in
fields such as computer science, mathematics, and biology in order to optimize solutions …

Bio-inspired computing represents the umbrella of different studies of computer science,
mathematics, and biology in the last years. Bio-inspired computing optimization algorithms is …

Nature is the best tutor and its designs and strengths are extremely massive and strange that
it gives inspiration to researches to imitate nature to solve hard and complex problems in …

Bio-Inspired optimization algorithms are inspired from principles of natural biological
evolution and distributed collective of a living organism such as (insects, animal,…. etc.) for …

Scientists have long looked to nature and biology in order to understand and model
solutions for complex real-world problems. The study of bionics bridges the functions …

Biological process is an improvement step that strives towards optimization. It always finds
the best solution with respect to the objective while maintaining the perfect balance with …

The concept of machine learning (ML) is becoming popular day by day among research
community for many reasons—capability of solving high-dimensional real-world problem …

Background: Limitations exist in traditional optimization algorithms. Studies show that bio-
inspired alternatives have overcome these drawbacks. Bio-inspired algorithm mimics the …

Traditional meta-heuristic optimization algorithms, such as the particle swarm optimization
(PSO) algorithm, genetic algorithm (GA), and bat algorithm (BA) played a vital role to provide …

Butterfly optimization algorithm (BOA), a newly developed optimization algorithm, has
captured the researcher's interest in solving real-life and engineering optimization problems …