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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 ...
Towards cloud-based parallel metaheuristics: A case study in computational biology with Differential Evolution and Spark
(Sage Publications Ltd., 2016-11-28)
[Abstract]
Many key problems in science and engineering can be formulated and solved using global optimization techniques. In the particular case of computational biology, the development of dynamic (kinetic) models is ...
Using the Cloud for Parameter Estimation Problems: Comparing Spark vs MPI with a Case-Study
(Institute of Electrical and Electronics Engineers, 2017-07-13)
[Abstract]
Systems biology is an emerging approach focused in generating new knowledge about complex biological systems by combining experimental data with mathematical modeling and advanced computational techniques. Many ...
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 ...
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 ...
Multimethod Optimization for Reverse Engineering of Complex Biological Networks
(Association for Computing Machinery, 2018-09)
[Abstract] Optimization problems appears in different areas of science and engineering. This paper considers the general problem of reverse engineering in computational biology by means of mixed-integer nonlinear dynamic ...
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 ...