若干新型智能优化算法对比分析研究.

张九龙, 王晓峰, 芦磊, 牛鹏飞 - Journal of Frontiers of …, 2022 - search.ebscohost.com
智能优化算法(IOA) 指的是一类以自然界的生物生存进化过程或物理现象为算法原理,
用于解决最优化问题的算法, 较为知名的智能优化算法有遗传算法, 粒子群算法 …

The Lévy flight paradigm: random search patterns and mechanisms

AM Reynolds, CJ Rhodes - Ecology, 2009 - Wiley Online Library
Over recent years there has been an accumulation of evidence from a variety of
experimental, theoretical, and field studies that many organisms use a movement strategy …

[图书][B] Fractals and multifractals in ecology and aquatic science

L Seuront - 2009 - taylorfrancis.com
Ecologists sometimes have a less-than-rigorous background in quantitative methods, yet
research within this broad field is becoming increasingly mathematical. Written in a step-by …

Multi-objective hybrid artificial bee colony algorithm enhanced with Lévy flight and self-adaption for cloud manufacturing service composition

J Zhou, X Yao - Applied Intelligence, 2017 - Springer
Abstract Service composition and optimal selection (SCOS) is a key problem in cloud
manufacturing (CMfg). The present study proposed a multi-objective hybrid artificial bee …

Collaborative search on the plane without communication

O Feinerman, A Korman, Z Lotker… - Proceedings of the 2012 …, 2012 - dl.acm.org
We use distributed computing tools to provide a new perspective on the behavior of
cooperative biological ensembles. We introduce the Ants Nearby Treasure Search (ANTS) …

An improved chicken swarm optimization algorithm and its application in robot path planning

X Liang, D Kou, L Wen - IEEE Access, 2020 - ieeexplore.ieee.org
Chicken swarm optimization (CSO) algorithm is one of very effective intelligence
optimization algorithms, which has good performance in solving global optimization …

Differential evolution based on truncated Lévy-type flights and population diversity measure to solve economic load dispatch problems

L dos Santos Coelho, TC Bora, VC Mariani - International journal of …, 2014 - Elsevier
Economic load dispatch (ELD) is an important constrained optimization task addressing this
vital concern for power system operations. ELD problem is the process of allocating …

The ontogeny of bumblebee flight trajectories: from naïve explorers to experienced foragers

JL Osborne, A Smith, SJ Clark, DR Reynolds… - Plos one, 2013 - journals.plos.org
Understanding strategies used by animals to explore their landscape is essential to predict
how they exploit patchy resources, and consequently how they are likely to respond to …

Using auction-based task allocation scheme for simulation optimization of search and rescue in disaster relief

J Tang, K Zhu, H Guo, C Gong, C Liao… - … Modelling Practice and …, 2018 - Elsevier
In order to improve the efficiency of search and rescue (SAR) in disaster relief, we optimize
the SAR through agent-based simulation in this paper. The Truncated Lévy walks model is …

A double-subpopulation variant of the bat algorithm

L Jun, L Liheng, W Xianyi - Applied Mathematics and Computation, 2015 - Elsevier
The bat algorithm (BA), which has been demonstrated to be competitive with some
conventional nature-inspired algorithms, such as particle swarm optimization (PSO) and …