Swarm intelligence (SI) is briefly defined as the collective behaviour of decentralized and
self-organized swarms. The well known examples for these swarms are bird flocks, fish …

作为一种较新的群体智能优化算法, 人工蜂群算法自提出之时就受到学术界的广泛关注,
目前已经在多个领域得到了成功应用. 介绍了人工蜂群算法的生物背景和基本原理 …

Most of the optimization problems encountered in the real world are discrete type which
involves decision variables defined in the discrete search space. Binary optimization …

The artificial bee colony algorithm is a relatively new optimization technique. This paper
presents an improved artificial bee colony (IABC) algorithm for global optimization. Inspired …

This paper introduces a new dynamic green bike repositioning problem (DGBRP) that
simultaneously minimizes the total unmet demand of the bike-sharing system and the fuel …

In recent years, swarm intelligence has proven its importance for the solution of those
problems that cannot be easily dealt with classical mathematical techniques. The foraging …

Abstract The Artificial Bee Colony (ABC) algorithm is a swarm intelligence approach which
has initially been proposed to solve optimisation of mathematical test functions with a unique …

Image Enhancement is a crucial phase in almost every image processing system. It aims at
improving both the visual and the informational quality of distorted images. Histogram …

Multi-verse optimizer is one of the recently proposed nature-inspired algorithms that has
proven its efficiency in solving challenging optimization problems. The original version of …

Inspired by human learning mechanisms, a novel meta-heuristic algorithm named human
learning optimization (HLO) is presented in this paper in which the individual learning …