A Novel Swarm Optimisation Algorithm Based on a Mixed-Distribution Model
Applied Sciences, 2018 Many swarm intelligence optimisation algorithms have been inspired by the collective behaviour of natural and artificial, decentralised, self-organised systems.
Xiaoming Zhang +3 more
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The SOS Platform: Designing, Tuning and Statistically Benchmarking Optimisation Algorithms [PDF]
, 2020 open access articleWe present Stochastic Optimisation Software (SOS), a Java platform facilitating the algorithmic design process and the evaluation of metaheuristic optimisation algorithms.
Caraffini, Fabio, Iacca, Giovani
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Frequency optimisation of composite cylinder using an evolutionary algorithm and neural networks [PDF]
MATEC Web of Conferences, 2019 The paper deals with the optimisation of dynamic properties of a composite cantilever cylinder. The optimised parameters are both the fundamental natural frequency f1 as well as the gap in frequency space around a selected external excitation force ...
Miller Bartosz, Ziemiański Leonard
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Connection Science, 2020 Feature selection is an important task to improve the classifier’s accuracy and to decrease the problem size. A number of methodologies have been presented for feature selection problems using metaheuristic algorithms.
Arfan Ali Nagra +6 more
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Cooperation of Nature and Physiologically Inspired Mechanism in Visualisation [PDF]
, 2012 A novel approach of integrating two swarm intelligence algorithms is considered, one simulating the behaviour of birds flocking (Particle Swarm Optimisation) and the other one (Stochastic Diffusion Search) mimics the recruitment behaviour of one species ...
Aber, Ahmed +2 more
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Novelty-Driven Binary Particle Swarm Optimisation for Truss Optimisation Problems
, 2022 Topology optimisation of trusses can be formulated as a combinatorial and multi-modal problem in which locating distinct optimal designs allows practitioners to choose the best design based on their preferences. Bilevel optimisation has been successfully applied to truss optimisation to consider topology and sizing in upper and lower levels ...
Hirad Assimi +3 more
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An efficient spotted hyena optimization based network log intrusions in massive server infrastructure [PDF]
Yugoslav Journal of Operations ResearchWith advancement of information technology, intrusion is becoming more common in the internet era. The increased use of cloud services have also resulted in assaults on servers.
Rajalingam R., Kavitha K.
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Source Localisation Using Wavefield Correlation-Enhanced Particle Swarm Optimisation
Robotics, 2022 Particle swarm optimisation (PSO) is a swarm intelligence algorithm used for controlling robotic swarms in applications such as source localisation. However, conventional PSO algorithms consider only the intensity of the received signal.
George Rossides +2 more
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Short-term wind prediction using an ensemble of particle swarm optimised FIR filters [PDF]
, 2013 Due to the large and increasing penetration of wind power around the world, accurate power production forecasts are required to manage power systems and wind power plants.
Dowell, Jethro, Weiss, Stephan
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Soft Actor-Critic Approach to Self-Adaptive Particle Swarm Optimisation
MathematicsParticle swarm optimisation (PSO) is a swarm intelligence algorithm that finds candidate solutions by iteratively updating the positions of particles in a swarm.
Daniel von Eschwege, Andries Engelbrecht
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