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Evolutionary computing
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In this paper, we adopted a new adaptive nonlinear weight update strategy based on fitness value and new neighborhood topology for Particle Swarm Optimization algorithm, thereby helping to prevent PSO from falling into local extremes.
16p
viamancio
04-06-2024
2
0
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Ebook "Introduction to computational biology: An evolutionary approach" Analysis of molecular sequence data is the main subject of this introduction to computational biology. There are two closely connected aspects to biological sequences: (i) their relative position in the space of all other sequences, and (ii) their movement through this sequence space in evolutionary time. Accordingly, the first part of the book deals with classical methods of sequence analysis: pairwise alignment, exact string matching, multiple alignment, and hidden Markov models.
329p
tracanhphuonghoa1007
22-04-2024
8
2
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Ebok "Handbook of neuroevolution through erlang" presents both the theory behind, and the methodology of, developing a neuroevolutionary-based computational intelligence system using Erlang. With a foreword written by Joe Armstrong, this handbook offers an extensive tutorial for creating a state of the art Topology and Weight Evolving Artificial Neural Network (TWEANN) platform. In a step-by-step format, the reader is guided from a single simulated neuron to a complete system.
836p
manmanthanhla0201
26-02-2024
2
1
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The proposed algorithm utilizes the migration method to identify local extremes and then relocates the population to explore new solution spaces for further evolution. The MIMEM algorithm is evaluated on the iMOPSE benchmark dataset, and the results demonstrate that it outperforms.
8p
visystrom
22-11-2023
8
3
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Ebook "Computational Intelligence in Control" contains 4 sections, includes: Section I: neural networks design, control and robotics application; section II: hybrid evolutionary systems for modelling, control and robotics applications; section III: fuzzy logic and bayesian systems; section IV: machine learning, evolutionary optimisation and information retrieval.
346p
haojiubujain08
01-11-2023
5
2
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Ebook Computational web intelligence intelligent technology for web applications" contains 3 parts, includes: Part I: fuzzy web intelligence rough web intelligence and probabilistic web intelligence; part II: neural web intelligence evolutionary web intelligence and granular web intelligence; part III: hybrid web intelligence and e-applications.
583p
haojiubujain08
01-11-2023
8
2
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Ebook Artificial intelligence: A guide to intelligent systems (Second edition) - Michael Negnevitsky
The book is based on lectures given to students who have little knowledge of calculus. And readers do not need to learn a programming language! The material in this book has been extensively tested through several courses taught by the author for the past decade. Typical questions and suggestions from my students influenced the way this book was written. The book is an introduction to the field of computer intelligence.
435p
haojiubujain08
01-11-2023
10
3
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Ebook "Evolutionary computation for modeling and optimization" includes content: An overview of evolutionary computation, designing simple evolutionary algorithms, optimizing real valued functions, sunburn - coevolving strings, small neural nets - symbots, evolving finite state automata, ordered structures, plus one recall store,... and other contents.
578p
haojiubujain07
20-09-2023
9
3
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Ebook "Frontiers of evolutionary computation" includes content: Towards a theory of organisms and evolving automata; two grand challenges for EC; evolutionary computation - Challenges and duties, open problems in the spectral analysis of evolutionary dynamics, solving combinatorial optimization problems via reformulation and adaptive memory metaheuristics,...and other contents.
296p
haojiubujain07
20-09-2023
4
2
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Ebook "The handbook of evolutionary computation" includes content: Introduction; fundamental concepts of evolutionary computation; evolutionary computation models; hybrid approaches; evolutionary computation implementations; applications of evolutionary computation; evolutionary computation in practice - case studies.
940p
haojiubujain07
20-09-2023
4
2
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Ebook "Swarm intelligence" includes content: Models and concepts of life and intelligence; symbols, connections, and optimization by trial and error; on our nonexistence as entities - the social organism; evolutionary computation theory and paradigms; humans—actual, imagined, and implied;.... and other contents.
541p
haojiubujain07
20-09-2023
7
3
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Internet of Things technology was introduced to allow many physical devices to connect over the Internet. The data and tasks generated by these devices put pressure on the traditional cloud due to high resource and latency demand. Vehicular Fog Computing (VFC) is a concept that utilizes the computational resources integrated into the vehicles to support the processing of enduser-generated tasks.
18p
vimulcahy
18-09-2023
8
4
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Increasingly, work is becoming digital, mobile, and social. Digital transformation is one of the issues of special interest not only in education and training but also in other activities of Hanoi National University of Education (HNUE). The application of digital transformation to delegations is one of the solutions being focused on by the delegation of Hanoi National University of Education in particular and universities in general.
15p
viantman
07-04-2023
8
2
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Bài giảng "Tính toán tiến hóa: Bài 1 - TS. Evolutionary Computing" được biên soạn với các nội dung chính sau đây: Tổng quan về bài toán tối ưu; Tổng quan về tính toán tiến hóa; Các track trong tính toán tiến hóa; Ứng dụng của tính toán tiến hóa;... Mời các bạn cùng tham khảo bài giảng tại đây!
40p
kimphuong1001
11-02-2023
5
2
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Bài giảng Tính toán tiến hóa - Bài 1: Evolutionary computing. Bài này cung cấp cho học viên những nội dung về: tổng quan bài toán tối ưu; tổng quan tính toán tiến hóa; các track trong tính toán tiến hóa; ứng dụng của tính toán tiến hóa;... Mời các bạn cùng tham khảo chi tiết nội dung bài giảng!
40p
hanlamcoman
26-11-2022
21
3
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This paper will study a new method to solve the MS-RCPSP problem based on the Particle Swarm Optimization (PSO) algorithm that is called R-PSO. The new improvement of R-PSO is re-assigning the resource to execute solution tasks. To evaluate the new algorithm's effectiveness, the paper conducts experiments on iMOPSE datasets.
12p
vikissinger
03-03-2022
5
2
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Single nucleotide variants (SNVs) in intronic regions have yet to be systematically investigated for their diseasecausing potential. Using known pathogenic and neutral intronic SNVs (iSNVs) as training data, we develop the RegSNPs-intron algorithm based on a random forest classifier that integrates RNA splicing, protein structure, and evolutionary conservation features.
16p
vielonmusk
30-01-2022
20
0
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Computational methods have been developed to reconstruct evolutionary lineages from tumors using single-cell genomic data. The resulting tumor trees have important applications in cancer research and clinical oncology.
4p
viaristotle
29-01-2022
6
0
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In this research paper, different algorithms are studied and compared with evolutionary approaches. Workflow scheduling using genetic algorithm is implemented and discussed. This paper aims to design a decision-making technique to optimize resources of cloud. It is an adaptive scheduling to maximize pro¯t by reducing execution time.
18p
redemption
20-12-2021
12
0
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Gene order changes, under rearrangements, insertions, deletions and duplications, have been used as a new type of data source for phylogenetic reconstruction. Because these changes are rare compared to sequence mutations, they allow the inference of phylogeny further back in evolutionary time. There exist many computational methods for the reconstruction of gene-order phylogenies, including widely used maximum parsimonious methods and maximum likelihood methods.
8p
vilarryellison
29-10-2021
11
0
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