Results 61 to 70 of about 156,806 (296)

A Hybrid Meta-Heuristic Algorithm based on Imperialist Competition Algorithm

Journal of Artificial Intelligence and Data Mining, 2016
The human has always been to find the best in all things. This Perfectionism has led to the creation of optimization methods. The goal of optimization is to determine the variables and find the best acceptable answer Due to the limitations of the problem, So that the objective function is minimum or maximum.
Roustaei, R., Yousefi Fakhr, F.
openaire   +2 more sources

Data, not documents: Moving beyond theories of information‐seeking behavior to advance data discovery

Journal of the Association for Information Science and Technology, Volume 76, Issue 4, Page 649-664, April 2025.
Abstract Many theories of human information behavior (HIB) assume that information objects are in text document format. This paper argues four important HIB theories are insufficient for describing users' search strategies for data because of assumptions about the attributes of objects that users seek.
Anthony J. Million, Jeremy York, Sara Lafia, Libby Hemphill   +3 more
wiley   +1 more source

Solving Large-Scale Function Optimization Problem by Using a New Metaheuristic Algorithm Based on Quantum Dolphin Swarm Algorithm

IEEE Access, 2019
Meta-heuristic algorithm has been a research hotspot in solving the optimal solution of large-scale functions. However, meta-heuristic algorithms are prone to fall into local optimum problems, such as the recently proposed dolphin swarm algorithm (DSA ...
Weibiao Qiao, Zhe Yang
doaj   +1 more source

A Guide to Bayesian Optimization in Bioprocess Engineering

Biotechnology and Bioengineering, EarlyView.
ABSTRACT Bayesian optimization has become widely popular across various experimental sciences due to its favorable attributes: it can handle noisy data, perform well with relatively small data sets, and provide adaptive suggestions for sequential experimentation.
Maximilian Siska, Emma Pajak, Katrin Rosenthal, Antonio del Rio Chanona, Eric von Lieres, Laura M. Helleckes   +5 more
wiley   +1 more source

Meta-heuristics and deep learning for energy applications: Review and open research challenges (2018–2023)

Energy Strategy Reviews
The synergy between deep learning and meta-heuristic algorithms presents a promising avenue for tackling the complexities of energy-related modeling and forecasting tasks.
Eghbal Hosseini, Abbas M. Al-Ghaili, Dler Hussein Kadir, Saraswathy Shamini Gunasekaran, Ali Najah Ahmed, Norziana Jamil, Muhammet Deveci, Rina Azlin Razali   +7 more
doaj   +1 more source

Review on Dam and Reservoir Optimal Operation for Irrigation and Hydropower Energy Generation Utilizing Meta-Heuristic Algorithms

IEEE Access, 2021
In engineering and scientific disciplines, there are extensive Optimization Application Problems (OAPs) such as economic dispatch, structural design, and water resources.
K. L. Chong, S. Lai, A. Ahmed, Wan Zurina Wan Zaafar, R. Rao, M. Sherif, A. Sefelnasr, A. El-Shafie   +7 more
semanticscholar   +1 more source

A Short‐Cut Design Approach to Evaluate Reboiler Designs in Vapor Recompression Scenarios

Chemie Ingenieur Technik, EarlyView.
A short‐cut model framework that incorporates mechanical vapor recompression (MVR) requirements into reboiler design is presented, which is particularly beneficial during early process development with limited data or initial feasibility assessments.
Franziska Lais, Stephan Scholl, Katharina Jasch   +2 more
wiley   +1 more source

Hybrid extreme learning machine with meta-heuristic algorithms for monthly pan evaporation prediction

Computers and Electronics in Agriculture, 2020
Accurate estimation of pan evaporation (Ep) is of great significance to the development of agricultural irrigation systems and agricultural water resources management.
Lifeng Wu, Guomin Huang, Junliang Fan, Xin Ma, Hanmi Zhou, W. Zeng   +5 more
semanticscholar   +1 more source

Probabilistic Multi‐Objective Energy Management System Model for an Energy Hub With PtG Technology for Cost Reduction and System Flexibility Improvement

Energy Science &Engineering, EarlyView.
Overview of the under‐study hub energy model showing the energy conversion and distribution among integrated sources and loads. ABSTRACT In this paper, a probabilistic bi‐objective energy management system (EMS) model is proposed for an energy hub (EH) equipped with renewable energy sources such as photovoltaic and wind turbine connected to the main ...
Mohammad Khoshabi, Mehrdad Ahmadi Kamarposhti, Mohsen Sedighi, Alireza Ghafouri   +3 more
wiley   +1 more source

A New Bipolar Approach Based on the Rooster Algorithm Developed for Utilization in Optimization Problems

Applied Sciences
Meta-heuristic algorithms are computational methods inspired by evolutionary processes, animal or plant behaviors, physical events, and other natural phenomena.
Mashar Cenk Gençal
doaj   +1 more source