Nature-inspired optimization algorithms have become useful in solving difficult optimization
problems in different disciplines. Since the introduction of evolutionary algorithms several …

Researchers from different domains have developed several metaheuristic algorithms that
are inspired by the biological phenomenon. In this work, we propose a novel algorithm that …

Metaheuristic algorithms have been an interesting and widely used area for scientists,
researchers and academicians because of their specific and significant characteristics and …

This paper proposes a new meta-heuristic algorithm called Pathfinder Algorithm (PFA) to
solve optimization problems with different structure. This method is inspired by collective …

Optimization is a powerful technique for obtaining the best possible solution of various
engineering design and planning problems. Over the last two to three decades, several …

This paper proposes a novel nature-inspired meta-heuristic optimizer, called Reptile Search
Algorithm (RSA), motivated by the hunting behaviour of Crocodiles. Two main steps of …

This paper presents a novel optimization algorithm based on competitive behavior of various
creatures such as birds, cats, bees and ants to survive in nature. In the proposed method, a …

Nature-inspired optimization algorithms can solve different engineering and scientific
problems owing to their easiness and flexibility. There is no need for structural modifications …

Forty-three of well-known test functions, which used in the area of optimization are used as
benchmark to check BM algorithm, in addition, BM verified by a comparative performance …

This book exemplifies how algorithms are developed by mimicking nature. Classical
techniques for solving day-to-day problems is time-consuming and cannot address complex …