Results 11 to 20 of about 1,592,120 (125)

Gaussian Perturbation Specular Reflection Learning and Golden-Sine-Mechanism-Based Elephant Herding Optimization for Global Optimization Problems. [PDF]

Comput Intell Neurosci, 2021
Elephant herding optimization (EHO) has received widespread attention due to its few control parameters and simple operation but still suffers from slow convergence and low solution accuracy. In this paper, an improved algorithm to solve the above shortcomings, called Gaussian perturbation specular reflection learning and golden‐sine‐mechanism‐based ...
Duan Y, Liu C, Li S, Guo X, Yang C.
europepmc   +2 more sources

Effective Modeling of Photovoltaic Modules Using Sailfish Optimizer [PDF]

, 2023
The current study proposes a novel meta-heuristic technique called sailfish optimizer (SFO) to design reliable photovoltaic (PV) modeling models.
Degla, A., Djafour, A., Dress, Zied, Danoune, Mohammed Bilal, Rehouma, Youcef   +4 more
core   +1 more source

Life in the fast lane: Revisiting the fast growth—High survival paradigm during the early life stages of fishes

Fish and Fisheries, Volume 24, Issue 5, Page 863-888, September 2023., 2023
Abstract Early life survival is critical to successful replenishment of fish populations, and hypotheses developed under the Growth‐Survival Paradigm (GSP) have guided investigations of controlling processes. The GSP postulates that recruitment depends on growth and mortality rates during early life stages, as well as their duration, after which the ...
Dominique Robert, Jun Shoji, Pascal Sirois, Akinori Takasuka, Ignacio A. Catalán, Arild Folkvord, Stuart A. Ludsin, Myron A. Peck, Su Sponaugle, Patricia M. Ayón, Richard D. Brodeur, Emily Y. Campbell, Evan K. D'Alessandro, John F. Dower, Louis Fortier, Alberto G. García, Klaus B. Huebert, Marc Hufnagl, Shin‐ichi Ito, Mikimasa Joh, Francis Juanes, Mitsuo Nyuji, Yoshioki Oozeki, Guido Plaza, Motomitsu Takahashi, Yosuke Tanaka, Naoki Tojo, Shingo Watari, Naotaka Yasue, Pierre Pepin   +29 more
wiley   +1 more source

Advanced orthogonal opposition‐based learning‐driven dynamic salp swarm algorithm: Framework and case studies

IET Control Theory &Applications, Volume 16, Issue 10, Page 945-971, 2 July 2022., 2022
Abstract Salp swarm algorithm (SSA) is a relatively new bio‐inspired meta‐heuristic optimization algorithm that mimics the navigating and foraging behavior of salps in oceans. This paper presents an orthogonal quasi‐opposition‐based learning‐driven dynamic SSA (OBDSSA) for solving global optimization problems.
Zongshan Wang, Hongwei Ding, Jingjing Yang, Jie Wang, Bo Li, Zhijun Yang, Peng Hou   +6 more
wiley   +1 more source

A Genetic Predictive Model Approach for Smart Traffic Prediction and Congestion Avoidance for Urban Transportation

Wireless Communications and Mobile Computing, Volume 2022, Issue 1, 2022., 2022
With emerging population and transportation in today’s world, traffic has become a challenging issue to be addressed. Most of the metropolitan cities are facing various traffic‐related issues. This poses the need for a smart traffic system, which could tackle the external environment and provide energy efficient transportation system.
R. Sathiyaraj, A. Bharathi, Sikandar Khan, Tayybah Kiren, Inam Ullah Khan, Muhammad Fayaz, Kuruva Lakshmanna   +6 more
wiley   +1 more source

Metaheuristics with Deep Learning‐Enabled Parkinson’s Disease Diagnosis and Classification Model

Journal of Healthcare Engineering, Volume 2022, Issue 1, 2022., 2022
Parkinson's disease (PD) affects the movement of people, including the differences in writing skill, speech, tremor, and stiffness in muscles. It is significant to detect the PD at the initial stages so that the person can live a peaceful life for a longer time period. The serious levels of PD are highly risky as the patients get progressive stiffness,
Adel A. Bahaddad, Mahmoud Ragab, Ehab Bahaudien Ashary, Eied M. Khalil, K. Shankar   +4 more
wiley   +1 more source

Autoencoder for Design of Mitigation Model for DDOS Attacks via M‐DBNN

Wireless Communications and Mobile Computing, Volume 2022, Issue 1, 2022., 2022
Distributed Denial of Service (DDoS) attacks pose the greatest threat to the continued and efficient operation of the Internet. It can lead to website downtime, lost time and money, disconnection and hosting issues, and website vulnerability. Conventional machine learning methodologies are being harmed by reduced recognition rates and greater false ...
Ankit Agrawal, Rajiv Singh, Manju Khari, S. Vimal, Sangsoon Lim, Nima Jafari Navimipour   +5 more
wiley   +1 more source

A self-learning particle swarm optimizer for global optimization problems [PDF]

, 2011
Copyright @ 2011 IEEE. All Rights Reserved. This article was made available through the Brunel Open Access Publishing Fund.Particle swarm optimization (PSO) has been shown as an effective tool for solving global optimization problems.
Yang, S, Li, Changhe, Nguyen, T. T., null Changhe Li, null Shengxiang Yang, Nguyen, T T, Yang, Shengxiang, Li, C, null Trung Thanh Nguyen   +8 more
core   +1 more source

Adaptive learning particle swarm optimizer-II for global optimization [PDF]

, 2010
Copyright @ 2010 IEEE.This paper presents an updated version of the adaptive learning particle swarm optimizer (ALPSO), we call it ALPSO-II. In order to improve the performance of ALPSO on multi-modal problems, we introduce several new major features in ...
Yang, S, Li, Changhe, Shengxiang Yang, Yang, Shengxiang, Changhe Li, Li, C   +5 more
core   +1 more source

Efficient fractional-order modified Harris hawks optimizer for proton exchange membrane fuel cell modeling

, 2021
An effective harmony between the exploration and exploitation phases in meta-heuristics is an essential design consideration to provide reliable performance on a wide range of optimization problems.
Mirjalili, S, Fathy, A, Thanikanti, SB, Machado, JAT, elbaksawi, O, Yousri, D   +5 more
core   +1 more source