Book Chapter10.1007/978-3-642-14883-5_49
Distributed and Asynchronous Bees Algorithm: An Efficient Model for Large Scale Problems Optimizations
Antonio Gómez-Iglesias,Miguel A. Vega-Rodríguez,Francisco Castejón,Miguel Cárdenas-Montes +3 more
- 01 Jan 2010
- pp 381-388
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TL;DR: A distributed and asynchronous bees (DAB) algorithm running in a DCI is here presented with the aim to optimize any large scale problem.
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Abstract: There are several different algorithms based on the ideas of collective behaviour of decentralized systems. Some of these algorithms try to imitate the distributed and self-organized systems that can be found in nature. Algorithms based on the mechanisms of distributed evidence gathering and processing of bee swarms are recent optimisation techniques. The distributed schema makes these algorithms suitable for a distributed implementation using the distributed computational infrastructures (DCIs) available. With these DCIs, large scale scientific problems can be optimized in a feasible time. However, the distributed paradigm of these infrastructures introduces several challenges in the design and development of any optimization technique. A distributed and asynchronous bees (DAB) algorithm running in a DCI is here presented with the aim to optimize any large scale problem.
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Citations
Distributed Bees Foraging-Based Algorithm for Large-Scale Problems
Antonio Gómez-Iglesias,Francisco Castejón,Miguel A. Vega-Rodríguez +2 more
- 16 May 2011
TL;DR: This paper presents an algorithm designed to efficiently optimize these large-scale optimization problems with different execution times for the evaluation of the candidate solutions with the own paradigm of the grid.
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Distributed and Asynchronous Bees Algorithm Applied to Nuclear Fusion Research
Antonio Gómez-Iglesias,Miguel A. Vega-Rodríguez,Francisco Castejón,Miguel Cárdenas-Montes +3 more
- 09 Feb 2011
TL;DR: A distributed and asynchronous bees (DAB) grid-based approach is here used to optimise the magnetic configuration in order to reduce the neoclassical transport of particles in a nuclear fusion device.
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•Journal Article
Stellarator Optimization Using a Distributed Swarm Intelligence-Based Algorithm
TL;DR: A distributed algorithm is presented that mimics the foraging behaviour of bees that has manifested its efficiency in dealing with complex problems.
2
Direct and surrogate optimization in applied superconductivity: state of the art, perspectives and challenges
TL;DR: This review surveys direct and surrogate optimization methods in applied superconductivity, highlighting the need for efficient solutions to complex problems, and presenting the state of the art in machine learning and numerical techniques for optimizing superconducting devices.
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