Buscar
Mostrando ítems 1-6 de 6
Spark Implementation of the Enhanced Scatter Search Metaheuristic: Methodology and Assessment
(Elsevier BV, 2020-12)
[Abstract]
Optimization problems arise nowadays in all disciplines, not only in the scientific area but also in the field of engineering or economics, and in many others. Currently, challenging optimization problems require ...
Fault tolerance of MPI applications in exascale systems: The ULFM solution
(Elsevier BV * North-Holland, 2020-05)
[Abstract]
The growth in the number of computational resources used by high-performance computing (HPC) systems leads to an increase in failure rates. Fault-tolerant techniques will become essential for long-running ...
An Efficient Ant Colony Optimization Framework for HPC Environments
(Elsevier, 2022)
[Abstract] Combinatorial optimization problems arise in many disciplines, both in the basic sciences and in applied fields such as engineering and economics. One of the most popular combinatorial optimization methods is ...
Parallel ant colony optimization for the training of cell signaling networks
(Elsevier, 2022)
[Abstract]: Acquiring a functional comprehension of the deregulation of cell signaling networks in disease allows progress in the development of new therapies and drugs. Computational models are becoming increasingly popular ...
Population based metaheuristics in Spark: Towards a general framework using PSO as a case study
(Elsevier, 2024-03)
[Abstract]: Over the years metaheuristics have been successfully applied to optimization problems in many real-world applications. The increasing complexity and scale of the problems addressed has posed new challenges to ...
Improved cooperative Ant Colony Optimization for the solution of binary combinatorial optimization applications
(John Wiley & Sons, 2024)
[Abstract]: Binary combinatorial optimization plays a crucial role in various scientific and engineering fields. While deterministic approaches have traditionally been used to solve these problems, stochastic methods, ...