Results 1 to 10 of about 52,663 (195)
Flood algorithm: a novel metaheuristic algorithm for optimization problems [PDF]
PeerJ Computer ScienceMetaheuristic algorithms are an important area of research that provides significant advances in solving complex optimization problems within acceptable time periods.
Ramazan Ozkan, Ruya Samli
doaj +5 more sources
Metaheuristic Algorithm and Laser Projection for Adjusting the Model of the Last Lower Surface to a Footprint [PDF]
BiomimeticsNowadays, metaheuristic algorithms have been applied to optimize last lower-surface models. Also, the last lower-surface model has been adjusted through the computational algorithms to perform custom shoe lasts.
J. Apolinar Muñoz Rodríguez
doaj +2 more sources
Metaheuristics: A Review of Algorithms
International Journal of Online and Biomedical Engineering (iJOE), 2023 In science and engineering, many optimization tasks are difficult to solve, and the core concern these days is to apply metaheuristic (MH) algorithms to solve them. Metaheuristics have gained significant attention in recent years, with nature serving as the fundamental inspiration where self-organization property led to collective intelligence emerging
Haval Tariq Sadeeq +1 more
openaire +1 more source
AutoMH: Automatically Create Evolutionary Metaheuristic Algorithms Using Reinforcement Learning
Entropy, 2022 Machine learning research has been able to solve problems in multiple domains. Machine learning represents an open area of research for solving optimisation problems. The optimisation problems can be solved using a metaheuristic algorithm, which can find
Boris Almonacid
doaj +1 more source
A Two-Level Metaheuristic for the Job-Shop Scheduling Problem with Multipurpose Machines
Complexity, 2022 This paper proposes a two-level metaheuristic consisting of lower- and upper-level algorithms for the job-shop scheduling problem with multipurpose machines. The lower-level algorithm is a local search algorithm used for finding an optimal solution.
Pisut Pongchairerks
doaj +1 more source
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 Overview of the Concepts, Classifications, and Methods of Population Initialization in Metaheuristic Algorithms [PDF]
Journal of Advances in Computer Engineering and Technology, 2021 Metaheuristic algorithms are typically population-based random search techniques. The general framework of a metaheuristic algorithm consisting of its main parts.
Mohammad Hassanzadeh, farshid keynia
doaj
Hybrid intelligent water Drops algorithm for examination timetabling problem
Journal of King Saud University: Computer and Information Sciences, 2022 The current study investigates the Intelligent Water Drops (IWD) metaheuristic algorithm to construct and produce good quality solutions for the university examination timetabling problem (UETP). The IWD is a population-based metaheuristic that simulates
Bashar A. Aldeeb +6 more
doaj +1 more source
Dwarf Mongoose Optimization Metaheuristics for Autoregressive Exogenous Model Identification
Mathematics, 2022 Nature-inspired metaheuristic algorithms have gained great attention over the last decade due to their potential for finding optimal solutions to different optimization problems.
Khizer Mehmood +6 more
doaj +1 more source
Online metaheuristic algorithm selection
Expert Systems with Applications, 2022 The performance of optimization algorithms significantly depends on the landscape of the problems. It is known that there is no single algorithm that outperforms others on problems with different fitness landscapes. One of the issues in metaheuristic algorithms is keeping the balance between exploration and exploitation.
Kazem Meidani +2 more
openaire +2 more sources