Results 1 to 10 of about 64,911 (173)
Metaheuristics for pharmacometrics [PDF]
CPT: Pharmacometrics & Systems Pharmacology, 2021 AbstractMetaheuristics is a powerful optimization tool that is increasingly used across disciplines to tackle general purpose optimization problems. Nature‐inspired metaheuristic algorithms is a subclass of metaheuristic algorithms and have been shown to be particularly flexible and useful in solving complicated optimization problems in computer ...
Kim, Seongho +4 more
openaire +4 more sources
Metaheuristics “In the Large” [PDF]
European Journal of Operational Research, 2022 Después de décadas de mejora sostenida, la metaheurística es una de las grandes historias de éxito de la investigación de optimización. Sin embargo, para que la investigación en metaheurística evite la fragmentación y la falta de reproducibilidad, existe una necesidad apremiante de una infraestructura científica y computacional más sólida para apoyar ...
Jerry Swan +15 more
openaire +6 more sources
Frontiers in Neuroinformatics, 2023 IntroductionRegression and classification are two of the most fundamental and significant areas of machine learning.MethodsIn this paper, a radial basis function neural network (RBFNN) based on an improved black widow optimization algorithm (IBWO) has ...
Hui Liu +9 more
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
An Enhanced Discrete Symbiotic Organism Search Algorithm for Optimal Task Scheduling in the Cloud
Algorithms, 2021 Recently, cloud computing has begun to experience tremendous growth because government agencies and private organisations are migrating to the cloud environment.
Suleiman Sa’ad +4 more
doaj +1 more source
A two-stage Tabu Search for multi-objective facility layout problem
Proceedings of the Conference on Production Systems and Logistics, 2021 In this paper, a new solution for the facility layout problem is presented. The approach was integrated into a planning software. The aim of the MeFaP research project was mainly the development of a user-friendly decision support regarding the facility ...
Aurich, Paul +5 more
doaj +1 more source
Training Spiking Neural Networks with Metaheuristic Algorithms
Applied Sciences, 2023 Taking inspiration from the brain, spiking neural networks (SNNs) have been proposed to understand and diminish the gap between machine learning and neuromorphic computing.
Amirhossein Javanshir +3 more
doaj +1 more source
Buildings, 2023 This paper presents a multi-objective optimization of steel trusses using direct analysis. The total weight and the inter-story drift or displacements of the structure were two conflict objectives, while the constraints relating to strength and ...
Truong-Son Cao +4 more
doaj +1 more source
Biomimetics, 2023 A new metaheuristic algorithm called green anaconda optimization (GAO) which imitates the natural behavior of green anacondas has been designed. The fundamental inspiration for GAO is the mechanism of recognizing the position of the female species by the
Mohammad Dehghani +2 more
doaj +1 more source
DGTTSSA: Data Gathering Technique Based on Trust and Sparrow Search Algorithm for WSNs
Sensors, 2023 Wireless Sensor Networks (WSNs) have been successfully utilized for developing various collaborative and intelligent applications that can provide comfortable and smart-economic life. This is because the majority of applications that employ WSNs for data
Walid Osamy +3 more
doaj +1 more source