Results 11 to 20 of about 1,929 (230)
Swarm-Based Machine Learning Algorithm for Building Interpretable Classifiers
This paper aims to produce classifiers that are not only accurate but also interpretable to decision makers. The classifiers are represented in the form of risk scores, i.e.
Diem Pham +3 more
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A comparison of optimisation algorithms for high-dimensional particle and astrophysics applications
Optimisation problems are ubiquitous in particle and astrophysics, and involve locating the optimum of a complicated function of many parameters that may be computationally expensive to evaluate.
The DarkMachines High Dimensional Sampling Group +20 more
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Application of Particle Swarm Optimisation to Evaluation of Polymer Cure Kinetics Models
A particle swarm optimisation approach is used to determine the accuracy and experimental relevance of six disparate cure kinetics models. The cure processes of two commercially available thermosetting polymer materials utilised in microelectronics ...
T. Tilford +7 more
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Adaptive agent tracking approach for oil contamination in water environments
The online monitoring of water environments is urgently needed. A feasible and effective approach is the use of agents. Water environments, similar to other real-world environments, present many changing and unpredictable situations.
Xiaoci Huang +4 more
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Quality Prediction and Parameter Optimisation of Resistance Spot Welding Using Machine Learning
In a small sample welding test space, and to achieve online prediction and self-optimisation of process parameters for the resistance welding joint quality of power lithium battery packs, this paper proposes a welding quality prediction model.
Yicheng He +4 more
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Particle swarm optimisation based video abstraction
Video abstraction is a basic step for intelligent access to video and multimedia databases which facilitates content-based video indexing, retrieving and browsing. This paper presents a new video abstraction scheme.
Magda B. Fayk +2 more
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A memetic algorithm for high‐strength covering array generation
Covering array generation (CAG) is the key research problem in combinatorial testing and is an NP‐complete problem. With the increasing complexity of software under test and the need for higher interaction covering strength t, the techniques for ...
Xu Guo +5 more
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Improving the search pattern of Rooted Tree Optimisation algorithm to solve complex problems
Rooted Tree Optimisation (RTO) is a metaheuristic method for solving complex problems. Roots in RTO move to new search space without evaluating such move for better fitness values.
Sola Eboda Edagbami +4 more
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A novel particle swarm optimisation with mutation breeding
The diversity of the population is a key factor for particle swarm optimisation (PSO) when dealing with most optimisation problems. The best previously visited positions of each particle are the exemplar in PSO to guide particle swarm to search, and the ...
Zhe Liu, Fei Han, Qing-Hua Ling
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Background Controlling the epidemic spread and establishing the immune barrier in a short time through accurate vaccine demand prediction and optimised vaccine allocation strategy are still urgent problems to be solved under the condition of frequent ...
Tianan Yang +3 more
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