Data clustering is one of the most popular techniques in data mining. It is a process of
partitioning an unlabeled dataset into groups, where each group contains objects which are …

This study develops a novel metaheuristic algorithm that is motivated by the behavior of
jellyfish in the ocean and is called artificial Jellyfish Search (JS) optimizer. The simulation of …

JADE is a differential evolution (DE) algorithm and has been shown to be very competitive in
comparison with other evolutionary optimization algorithms. However, it suffers from the …

This paper introduces the Backtracking Search Optimization Algorithm (BSA), a new
evolutionary algorithm (EA) for solving real-valued numerical optimization problems. EAs …

Wind power prediction is crucial for successfully integrating large-scale wind energy with the
grid and achieving a carbon-neutral energy mix. However, previous studies encountered …

This paper proposes a novel confusion and diffusion method for image encryption. One
innovation is to confuse the pixels by transforming the nucleotide into its base pair for …

This paper proposes a bit-level permutation and high-dimension chaotic map to encrypt
color image. Firstly, convert the plain color image of size (M× N) into a grayscale image of …

针对传统粒子群算法初期收敛较快, 而在后期容易陷入早熟, 局部最优的特点,
提出了一种新的混沌粒子群优化算法, 不同于己有的混沌粒子群算法的简单粒子序列替换 …

There are more than two dozen variants of particle swarm optimization (PSO) algorithms in
the literature. Recently, a new variant, called accelerated PSO (APSO), shows some extra …

Artificial bee colony algorithm (ABC), which is inspired by the foraging behavior of honey
bee swarm, is a biological-inspired optimization. It shows more effective than genetic …