Results 21 to 30 of about 24,415 (308)

Metaheuristic Optimization of Power and Energy Systems: Underlying Principles and Main Issues of the ‘Rush to Heuristics’

Energies, 2020
In the power and energy systems area, a progressive increase of literature contributions that contain applications of metaheuristic algorithms is occurring.
Gianfranco Chicco, Andrea Mazza
doaj   +1 more source

A Multiple-Search Multi-Start Framework for Metaheuristics for Clustering Problems

IEEE Access, 2020
Metaheuristic algorithms have been widely used as an effective and efficient way for solving various complex optimization problems; there is, however, plenty of room for improvement.
Kai-Cheng Hu, Chun-Wei Tsai, Ming-Chao Chiang   +2 more
doaj   +1 more source

Improved Metaheuristic Algorithm Based Finite Element Model Updating of a Hybrid Girder Cable-Stayed Railway Bridge

Buildings, 2022
This study proposes a generally applicable improvement strategy for metaheuristic algorithms, improving the algorithm’s accuracy and local convergence in finite element (FE) model updating.
Shiqiang Qin, Yonggang Yuan, Yaowei Gan, Qiuping Wang   +3 more
doaj   +1 more source

A novel metaheuristic optimization algorithm: the monarchy metaheuristic

TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES, 2019
In this paper, we introduce a novel metaheuristic optimization algorithm named the monarchy metaheuristic (MN). Our proposed metaheuristic was inspired by the monarchy government system. Unlike many other metaheuristics, it is easy to implement and does not need a lot of parameters. This makes it applicable to a wide range of optimization problems.
Ibtissam Ahmia, Méziane Aïder
openaire   +1 more source

Exact algorithms for the clustered vehicle routing problem [PDF]

, 2014
This study presents new exact algorithms for the Clustered Vehicle Routing Problem (CluVRP). The CluVRP is a generalization of the Capacitated Vehicle Routing Problem (CVRP), in which the customers are grouped into clusters.
Vigo, Daniele, Güneş Erdoğan, Erdogan, G., Erdogan, Gunes, Battarra, Maria, Maria Battarra, Erdogan, G, Battarra, M., Vigo, D.   +8 more
core   +1 more source

MetaCluster: An open-source Python library for metaheuristic-based clustering problems

SoftwareX, 2023
Clustering, based on metaheuristic algorithms, is a rapidly developing field. Its goal is to use these methods to reframe clustering issues as optimization problems. In this study, we propose an open-source library named MetaCluster.
Nguyen Van Thieu, Diego Oliva, Marco Pérez-Cisneros   +2 more
doaj   +1 more source

Application of metaheuristic algorithms in optimal design of sewer collection systems

, 2023
Sewer collection systems are essential but the most expensive infrastructures in every modern city. Hence, many researchers and engineers have continuously investigated the optimal design of these systems. The decision variables of these networks include
Nikoo, MR, Al-Rawas, G, Geranmehr, M, Gandomi, AH, Al-Jabri, K   +4 more
core   +1 more source

Comparison of metaheuristic optimization algorithms for solving constrained mechanical design optimization problems

, 2021
Determining the solution for real mechanical design problems is a challenging task when using the newly developed and efficient swarm intelligence algorithms.
Yildiz, Ali Riza, Abderazek, Hammoudi, Sait, Sadiq M., Gupta, Shubham, Yıldız, Betül Sultan, Sait, Sadiq M, Yildiz, Betul Sultan, Mirjalili, Seyedali   +7 more
core   +1 more source

PARAMETER-LESS AND METAPHOR-LESS METAHEURISTIC ALGORITHM SUGGESTION FOR SOLVING COMBINATORIAL OPTIMIZATION PROBLEMS

Eskişehir Osmangazi Üniversitesi Mühendislik ve Mimarlık Fakültesi Dergisi, 2023
Many optimization problems are complex, challenging and take a significant amount of computational effort to solve. These problems have gained the attention of researchers and they have developed lots of metaheuristic algorithms to use for solving these ...
Aydın Sipahioğlu, İslam Altın
doaj   +1 more source

An Investigation into the Merger of Stochastic Diffusion Search and Particle Swarm Optimisation [PDF]

, 2011
This study reports early research aimed at applying the powerful resource allocation mechanism deployed in Stochastic Diffusion Search (SDS) to the Particle Swarm Optimiser (PSO) metaheuristic, effectively merging the two swarm intelligence algorithms ...
Blackwell, Tim, Tim Blackwell, Bishop, Mark John, Bishop, Mark (J. M.), al-Rifaie, Mohammad Majid, Mohammad Majid al-Rifaie, Mark John Bishop   +6 more
core   +1 more source