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Implementing Parallel Differential Evolution on Spark
(Springer, 2016-04-02)
[Abstract] Metaheuristics are gaining increased attention as an efficient way of solving hard global optimization problems. Differential Evolution (DE) is one of the most popular algorithms in that class. However, its ...
Evaluation of Parallel Differential Evolution Implementations on MapReduce and Spark
(Springer, 2017-09)
[Abstract] Global optimization problems arise in many areas of science and engineering, computational and systems biology and bioinformatics among them. Many research efforts have focused on developing parallel metaheuristics ...
Multimethod optimization in the cloud: A case‐study in systems biology modelling
(Wiley, 2018-06-25)
[Abstract] Optimization problems appear in many different applications in science and engineering. A large number of different algorithms have been proposed for solving them; however, there is no unique general optimization ...
A cloud-based enhanced differential evolution algorithm for parameter estimation problems in computational systems biology
(Springer New York LLC, 2017)
[Abstract] Metaheuristics are gaining increasing recognition in many research areas, computational systems biology among them. Recent advances in metaheuristics can be helpful in locating the vicinity of the global solution ...
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 ...
Running scientific codes on amazon EC2: a performance analysis of five high-end instances
(Springer New York LLC, 2013)
[Abstract] Amazon Web Services (AWS) is a well-known public Infrastructure-as-a-Service (IaaS) provider whose Elastic Computing Cloud (EC2) o ering includes some instances, known as cluster instances, aimed at High-Performance ...
An approach to support generic topologies in distributed PSO algorithms in Spark
(Armando De Giusti, Marcelo Naiouf, Franco Chichizola, Enzo Rucci, Laura De Giusti. Universidad Nacional de La Plata. Facultad de Informática., 2023)
[Abstract] Particle Swarm Optimization (PSO) is a popular population-based search algorithm that has been applied to all kinds of complex optimization problems. Although the performance of the algorithm strongly depends ...
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 ...
Hybrid parallel multimethod hyperheuristic for mixed-integer dynamic optimization problems in computational systems biology
(Springer New York LLC, 2019-05-08)
[Abstract]
This paper describes and assesses a parallel multimethod hyperheuristic for the solution of complex global optimization problems. In a multimethod hyperheuristic, different metaheuristics cooperate to outperform ...
Implementing cloud-based parallel metaheuristics: an overview
(Universidad Nacional de la Plata - Facultad de Informatica, 2018-12-12)
[Abstract]
Metaheuristics are among the most popular methods for solving hard global optimization problems in many areas of science and engineering. Their parallel im- plementation applying HPC techniques is a common ...