Results 51 to 60 of about 2,657,191 (149)

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

open access: yesEnergy 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   +7 more
doaj   +1 more source

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

open access: yesApplied 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

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

open access: yesIEEE 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 Survey on Meta-heuristic Algorithms for Global Optimization Problems

open access: yes, 2019
Optimization is a more important field of research. With increasing the complexity of real-world problems, the more efficient and reliable optimization algorithms vital.
Abdel Nasser H. Zaied   +2 more
core   +1 more source

A Comparison of Metaheuristic Algorithms for Structural Optimization: Performance and Efficiency Analysis

open access: yesAdvances in Civil Engineering
Optimization challenges effectively mirror numerous complex real-world problems. These are typically addressed using two methodologies: approximate methods and exact methods. Within the approximate category, meta-heuristic methods are prominent.
Saeedeh Ghaemifard, Amin Ghannadiasl
doaj   +1 more source

Meta-heuristic algorithms for the control tuning of omnidirectional mobile robots

open access: yes, 2019
The growth in usage of efficient mobile robots in engineering has motivated the search for new alternatives to improve the control tuning task. In this article, Cartesian space proportional–derivative control tuning for omnidirectional mobile robots is ...
Omar Serrano-Pérez (6506195)   +3 more
core   +1 more source

Heuristic estimates in shortest path algorithms [PDF]

open access: yes
Shortest path problems occupy an important position in Operations Research aswell as in Arti¯cial Intelligence. In this paper we study shortest path algorithms thatexploit heuristic estimates. The well-known algorithms are put into one framework.Besides
Pijls, W.H.L.M.
core  

A hybrid scatter search. Electromagnetism meta-heuristic for project scheduling. [PDF]

open access: yes
In the last few decades, several effective algorithms for solving the resource-constrained project scheduling problem have been proposed. However, the challenging nature of this problem, summarised in its strongly NP-hard status, restricts the ...
Debels, D   +3 more
core  

EHHM: Electrical Harmony Based Hybrid Meta-Heuristic for Feature Selection

open access: yesIEEE Access, 2020
Selecting the most relevant features from a high dimensional dataset is always a challenging task. In this regard, the feature selection (FS) method acts as a solution to this problem mainly in the domain of data mining and machine learning.
Khalid Hassan Sheikh   +6 more
doaj   +1 more source

Meta-Heuristic Algorithms in Medical Image Segmentation

open access: yes, 2018
Artificial intelligence is the outlet of computer science apprehensive with creating computers that perform as humans. It compromises expert systems, playing games, natural language, and robotics.
Nilanjan Dey, Amira S. Ashour
core   +1 more source

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