Nature-inspired metaheuristic algorithms are considered as the most effective techniques for
solving various optimization problems. This paper provides a briefly review of the key …

Many vision-based systems suffer from poor levels of contrast and brightness, mainly
because of inadequate and improper illumination during the image acquisition process. As a …

One of the major problems that is usually associated with any optimization algorithm
including the Cuckoo Search (CS) algorithm is the premature convergence to suboptimal …

Dysarthric speech is the noisy or source distortion speech. Reasonable speech
enhancement is required to obtain higher communication quality for non-stationary noises …

Globally, 1.6 billion individuals suffered from hearing disability in 2019. According to the
World Health Organization, by 2050, the number of people with hearing impairments will rise …

Since the development of cuckoo search (CS) by Yang and Deb in 2009, CS has been
applied in a diverse range of applications. This paper first outlines the key features of the …

针对布谷鸟仿生智能优化算法存在着的易陷入局部最优, 求解精度低以及收敛速度慢等问题,
提出了基于多阶段动态扰动和动态惯性权重的布谷鸟搜索算法(MACS). 利用多阶段动态扰动 …

Speech enhancement is an interesting research area that aims at improving the quality and
intelligibility of the speech that is affected by the additive noises, such as airport noise, train …

Cuckoo search algorithm (CSA) has been a candidate for numerous recent applications and
showed great compatibility in solving optimization problems. It is a metaheuristic algorithm …

Purpose The purpose of this paper is to present a comparison between two well-known Lévy-
based meta-heuristics called cuckoo search (CS) and flower pollination algorithm (FPA) …