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Metaheuristics for pharmacometrics [PDF]

CPT: Pharmacometrics & Systems Pharmacology, 2021
Metaheuristics 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 ...
Seongho Kim, Andrew C. Hooker, Yu Shi, Grace Hyun J. Kim, Weng Kee Wong   +4 more
doaj   +4 more sources

Revisiting motif finding: do bi-objective metaheuristics surpass single-objective metaheuristics? [PDF]

BMC Bioinformatics
Background The discovery of DNA motifs is essential for studying gene expression and function in many biological systems. Most existing algorithms for motif detection rely on a single optimization criterion or objective function.
Muhammad Ali Nayeem, Shehab Sarar Ahmed, Suliman Aladhadh, M. Sohel Rahman   +3 more
doaj   +2 more sources

Metaheuristics in applied geophysics

Pamukkale University Journal of Engineering Sciences, 2016
In this study, four metaheuristic algorithms including particle swarm optimization (PSO), genetic algorithm (GA), differential evolution (DE) and simulated annealing (SA) were used for one-, two-and threedimensional (1D, 2D and 3D) geophysical inverse problems.
Gökhan Göktürkler, Çağlayan Balkaya, Yunus Levent Ekinci, Seçil Turan-Karaoğlan   +3 more
openalex   +5 more sources

Contributions to the future of metaheuristics in the contours of scientific development [PDF]

Gestão & Produção, 2022
Metaheuristic algorithms solve optimisation problems by identifying the best combination among a set of variables to enhance a function. Within metaheuristics, the main purpose of this work is that of showing the development of research issues about ...
Nilo Antonio de Souza Sampaio, José Salvador da Motta Reis, Maximilian Espuny, Ronald Paland Cardoso, Fabricio Maciel Gomes, Felix Monteiro Pereira, Luís César Ferreira, Motta Barbosa, Gilberto Santos, Messias Borges Silva   +9 more
doaj   +1 more source

Combinatorial Optimization Problems and Metaheuristics: Review, Challenges, Design, and Development

Applied Sciences, 2021
In the past few decades, metaheuristics have demonstrated their suitability in addressing complex problems over different domains. This success drives the scientific community towards the definition of new and better-performing heuristics and results in ...
Fernando Peres, Mauro Castelli
doaj   +1 more source

Hybrid Metaheuristics for QoS-Aware Service Composition: A Systematic Mapping Study

IEEE Access, 2022
With the advent of Service-Oriented Architecture (SOA), services can be registered, invoked, and combined by their identical Quality of Services (QoS) attributes to create a new value-added application that fulfils user requirements.
Hadi Naghavipour, Tey Kok Soon, Mohd Yamani Idna Bin Idris, Morteza Namvar, Rosli Bin Salleh, Abdullah Gani   +5 more
doaj   +1 more source

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, Steven Adriænsen, Alexander E. I. Brownlee, Kevin Hammond, Colin G. Johnson, Ahmed Kheiri, Faustyna Krawiec, J. J. Merelo, Leandro L. Minku, Ender Özcan, Gisele L. Pappa, Pablo García‐Sánchez, Kenneth Sörensen, Stefan Voß, Markus Wagner, David R. White   +15 more
openaire   +6 more sources

Designing New Metaheuristics: Manual Versus Automatic Approaches

Intelligent Computing, 2023
A metaheuristic is a collection of algorithmic concepts that can be used to define heuristic methods applicable to a wide set of optimization problems for which exact/analytical approaches are either limited or impractical.
Christian L. Camacho-Villalón, Thomas Stützle, Marco Dorigo   +2 more
doaj   +1 more source

Time Complexity of Population-Based Metaheuristics

Mendel, 2023
This paper is a brief guide aimed at evaluating the time complexity of metaheuristic algorithms both mathematically and empirically. Starting with the mathematical foundational principles of time complexity analysis, key notations and fundamental ...
Mahamed G Omran, Andries Engelbrecht
doaj   +1 more source

Prediction of Mechanical Properties for High Strength Low Alloyed Steels in a Commercial Hot Dip Galvanizing Line without Soaking Section

Metals, 2020
The classical thermal cycle in a Hot Dip Galvanizing (HDG) line has four steps: heating, soaking, cooling, and aging. The furnace of an ArcelorMittal HDG line was revamped to increase its heating capacity.
Ángel García-Martino, César García, María Manuela Prieto, José Díaz   +3 more
doaj   +1 more source