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Heuristic model
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Part 1 of ebook "Cooperative systems: Control and optimization" provides readers with contents including: optimally greedy control of team dispatching systems; heuristics for designing the control of a UAV fleet with model checking; unmanned helicopter formation flight experiment for the study of mesh stability; cooperative estimation algorithms using TDOA measurements; a comparative study of target localization methods for large GDOP;...
202p
dongmelo
26-05-2024
6
3
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Part 2 of ebook "Cooperative systems: Control and optimization" provides readers with contents including: challenges in building very large teams; model predictive path-space iteration for multi-robot coordination; path planning for a collection of vehicles with yaw rate constraints; estimating the probability distributions of alloy impact toughness; a one-pass heuristic for cooperative communication in mobile ad hoc networks; mathematical modeling and optimization of superconducting sensors with magnetic levitation;...
206p
dongmelo
26-05-2024
5
2
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Ebook "Introduction to computational molecular biology" brings together major results in the field, in coherent and readable format. Setubal and Meidanis present a representative sample of problems in molecular biology, focusing on the algorithms that have been proposed to solve them. Readers will find background material on molecular biology, definitions of key terms, descriptions of models, and a full sample of algorithmic results.
308p
tracanhphuonghoa1007
22-04-2024
2
2
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The present research and model is aimed at presenting an integrated multi-objective optimal supply chain model of Sepah Bank's green supply chain in terms of model uncertainty using meta-heuristic algorithms and providing a suitable conceptual framework. In this regard, a multiobjective optimization model is presented and solved using fireworks algorithms based on Pareto Archive and NSGA-II. The green banking phenomenon has emerged with the same purpose in the banking system of the world and today it has made significant progress in theoretical and operational aspects.
11p
longtimenosee07
29-03-2024
2
2
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Ebook "Computational biology: Issues and applications in oncology" provides a comprehensive report on recent techniques and results in computational oncology essential to the knowledge of scientists, engineers, as well as postgraduate students working on the areas of computational biology, bioinformatics, and medical informatics. With chapters timely prepared and written by experts in the field, this in-depth and up-to-date volume covers advanced statistical methods, heuristic algorithms, cluster analysis, data modeling, image and pattern analysis applied to cancer research.
309p
cotieubac1004
15-03-2024
4
0
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Ebook "Crop systems biology: Narrowing the gaps between crop modelling and genetics" will be meant for those scientists and graduate students from fundamental plant biology and applied crop science who are interested in bridging the gap between these two fields. We have invited a group of scientists (who have very good track records in publishing excellent papers in this field or in a closely related area) to contribute chapters to this new book, and they have agreed to do so.
241p
cotieubac1004
15-03-2024
5
0
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Ebook "Introduction to mathematical methods in bioinformatics" looks at the mathematical foundations of the models currently in use. All existing books on bioinformatics are software-orientated and they concentrate on computer implementations of mathematical models of biology. This book is unique in the sense that it looks at the mathematical foundations of the models, which are crucial for correct interpretation of the outputs of the models.
305p
tachieuhoa
28-01-2024
6
2
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Part 1 book "Principles of sequencing and scheduling" includes content: Introduction, single machine sequencing, optimization methods for the single machine problem, heuristic methods for the single machine problem, earliness and tardiness costs, sequencing for stochastic scheduling, safe scheduling, extensions of the basic model, parallel machine models.
292p
oursky03
21-08-2023
7
5
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Nghiên cứu sử dụng thuyết hoạch tính cá nhân (Privacy Calculus) và Lý thuyết hành vi có kế hoạch (TPB) kết hợp với Hệ thống mô hình xử lý thông tin kép HSM (Heuristic-Systematic Model) để xây dựng mô hình nghiên cứu dựa trên những lý thuyết này. Mô hình nghiên cứu tập trung vào nhận thức của người sử dụng mạng xã hội về rủi ro bảo mật dữ liệu để khai thác hành vi chia sẻ thông tin trên mạng xã hội (MXH) ảnh hưởng bởi yếu tố này trong bối cảnh MXH đang dần trở thành một phương tiện không thể thiếu trong đời sống hàng ngày của người dân Việt Nam.
14p
viannee
04-08-2023
9
6
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Part 1 book "Principles of sequencing and scheduling" includes content: Introduction, single-Machine sequencing, optimization methods for the single - machine problem, heuristic methods for the single -machine problem, earliness and tardiness costs, sequencing for stochastic scheduling, safe scheduling, extensions of the basic model.
215p
oursky01
24-07-2023
7
3
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This study investigates the potential use of advanced DM approaches and proposes a meta-heuristic optimization algorithm – based prediction model. This prediction model integrates the artificial firefly colony algorithm and the machine learning prediction model.
5p
vilexus
05-10-2022
10
4
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Lecture Tourism theory, concepts and models - Chapter 2: What is tourism? By the end of this lecture you should be able to: identify and analyse the force field of tourism knowledge; understand the development of myths about tourism and assess their validity; identify the components of tourism; distinguish between and critique heuristic and technical definitions of tourism;...
19p
charaznable
06-06-2022
12
2
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This paper presents a solution to the power balance control strategy for WSN with collaborating heuristic. A distance between the weight factors and obtained nodes interference value is used to establish a useful interference model for enhancing the signal-to-interference-noise ratio (SINR). The utility function of the nodes residual energy and transmission rate is modeled by apply heuristic strategy. The optimal transmission power is obtained after several iterations of the heuristic algorithm.
11p
linyanjun_2408
21-04-2022
19
3
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Single-cell RNA-seq (scRNA-seq) data exhibits significant cell-to-cell variation due to technical factors, including the number of molecules detected in each cell, which can confound biological heterogeneity with technical effects. To address this, we present a modeling framework for the normalization and variance stabilization of molecular count data from scRNA-seq experiments.
15p
vielonmusk
30-01-2022
8
0
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This research also demonstrates the effectiveness of DHACA compared with the previous studies such as Multi-objectives Genetic Algorithm (MOGA), Simulated Annealing Algorithm based Multi-objectives Genetic Algorithm (SAbased MOGA) on the CSLP. DHACA supports the construction site dynamic planning with constraints on facilities to improve work efficiency.
12p
inception36
30-11-2021
11
1
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This research proposes a new Hybrid Meta-heuristic model which is a combination of Ant Colony Optimization algorithm (ACO), Bacterial foraging algorithm (BFA), and Pair-Wise Exchange Heuristic algorithm (PWEH). The proposed algorithm is named Dynamic Hybrid Ant Colony Algorithm (DHACA) model that can enhance local and global searches simultaneously. In addition, parameter values are optimized to create a better solution.
11p
chauchaungayxua12
09-07-2021
13
1
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The search for optimum design variables is conducted by using a recent heuristic method, namely Grey Wolf Optimizer. During the heuristic search, direct heat conduction problem has to be solved several times. The set of heat transfer parameters that lead to smallest error rate between computed temperature field and reference one is the optimum output of the inverse problem. In order to accelerate the process, the model order reduction technique Proper-Orthogonal-Decomposition (POD) is used.
14p
nguaconbaynhay11
07-04-2021
15
3
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Identification of one or several disease causing variant(s) from the large collection of variants present in an individual is often achieved by the sequential use of heuristic filters. The recent development of whole exome sequencing enrichment designs for several non-model species created the need for a species-independent, fast and versatile analysis tool, capable of tackling a wide variety of standard and more complex inheritance models.
7p
vioklahoma2711
19-11-2020
11
2
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Bài viết tiến hành cải tiến mô hình tri thức toán tử, Ops-model về mặt cấu trúc các khái niệm trong mô hình và phân loại các luật của miền tri thức gồm các luật dẫn và các cách áp dụng các luật Heuristic. Mời các bạn cùng tham khảo bài viết để nắm chi tiết hơn nội dung nghiên cứu của bài viết.
9p
quenchua9
20-11-2020
17
1
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Pre-mRNA splicing is the removal of introns from precursor mRNAs (pre-mRNAs) and the concurrent ligation of the flanking exons to generate mature mRNA. This process is catalyzed by the spliceosome, where the splicing factor 1 (SF1) specifically recognizes the seven-nucleotide branch point sequence (BPS) and the U2 snRNP later displaces the SF1 and binds to the BPS.
9p
viconnecticut2711
29-10-2020
13
1
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