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1. |
Record Nr. |
UNINA990008533890403321 |
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Autore |
Sengupta, Nirmal |
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Titolo |
A new institutional theory of production : an application / Nirmal Sengupta |
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Pubbl/distr/stampa |
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New Delhi ; Thousand Oaks ; London : Sage Publications, 2001 |
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ISBN |
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Descrizione fisica |
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Disciplina |
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Locazione |
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Collocazione |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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2. |
Record Nr. |
UNISA996495171003316 |
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Autore |
Rao Yunqing |
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Titolo |
Intelligent algorithms for packing and cutting problem / / Yunqing Rao, Qiang Luo |
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Pubbl/distr/stampa |
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Gateway East, Singapore : , : Springer, , [2022] |
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©2022 |
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ISBN |
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Descrizione fisica |
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1 online resource (338 pages) |
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Collana |
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Engineering applications of computational methods |
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Disciplina |
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Soggetti |
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Cutting stock problem |
Cybernetics |
Cibernètica |
Llibres electrònics |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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Intro -- Preface -- Contents -- 1 Introduction to the Packing and Cutting Problem -- 1.1 Problem Definition -- 1.1.1 Packing Problem -- 1.1.2 Cutting Problem -- 1.2 Literature Review -- 1.2.1 Review for 2DRSP -- 1.2.2 Review for 2DISP -- 1.2.3 Review for CSP -- 1.3 Development Trends -- References -- 2 Intelligent Algorithms for Rectangular Packing Problem -- 2.1 Problem Description -- 2.2 Memetic Algorithm for the Problem -- 2.2.1 Introduction -- 2.2.2 The Placement Strategy -- 2.2.3 The Memetic Algorithm -- 2.2.4 Implementation of Memetic Algorithm -- 2.2.5 Experimental Results -- 2.3 Discrete Grey Wolf Optimization -- 2.3.1 Introduction -- 2.3.2 Improved Best-Fit Heuristic Algorithm -- 2.3.3 Discrete Grey Wolf Optimization -- 2.3.4 Experimentation and Results -- 2.4 Conclusions -- References -- 3 Intelligent Algorithms for Irregular Packing Problem -- 3.1 Problem Description -- 3.2 The Geometrical Technique -- 3.3 Memetic Algorithm for the Problem -- 3.3.1 Introduction -- 3.3.2 The Memetic Algorithm -- 3.3.3 The Realization of the Adaptive Memetic Algorithm -- 3.3.4 Experimental Study and Discussions -- 3.4 Beam Search Hybridized with Tabu Search for the Problem -- 3.4.1 Introduction -- 3.4.2 Placement Principle Based on Improved NFP -- 3.4.3 The Hybrid Algorithm for Searching Sequence -- 3.4.4 Experimental Results and Discussions -- 3.5 Biased Genetic Algorithm Hybridized with VNS for the Problem -- 3.5.1 Introduction -- 3.5.2 Placement Method -- 3.5.3 Biased Genetic Algorithm Hybridized with VNS -- 3.5.4 Experimental Results and Discussions -- 3.6 Conclusions -- Appendix -- References -- 4 Novel Algorithms for 2DRSP and 2DISP -- 4.1 Reinforcement Learning Algorithm for 2DRPP -- 4.1.1 Introduction and Problem Description -- 4.1.2 Lowest Centroid Placement Method -- 4.1.3 Sequence Optimization Based on Q-learning. |
4.1.4 Computational Packing Experiments -- 4.2 Reinforcement Learning Algorithm for 2DIPP -- 4.2.1 Introduction -- 4.2.2 Description of Packing Problem -- 4.2.3 Positioning Strategy Based on BL -- 4.2.4 Sequence Optimization Strategy -- 4.2.5 Computational Experiment -- 4.3 Sequential Transfer-Based PSO for 2DIPP -- 4.3.1 Introduction -- 4.3.2 Novel Positioning Strategy Based on NFP -- 4.3.3 Description of Sequence Transfer -- 4.3.4 Computational Experiments -- References -- 5 Solutions for New Variants of Packing Problem -- 5.1 Knapsack Packing Problem with Defects -- 5.1.1 Introduction and Literature Review -- 5.1.2 Problem Description -- 5.1.3 The Approach for the Problem -- 5.1.4 Numerical Experiments and Conclusions -- 5.2 Irregular Packing Problem with Defects -- 5.2.1 Introduction and Problem Description -- 5.2.2 Literature Review -- 5.2.3 Genetic Algorithm and Grey Wolf Optimization -- 5.2.4 Heuristic Placement Algorithm -- 5.2.5 Computational Results and Conclusions -- 5.3 Rectangular Packing Problem with Divisible Items -- 5.3.1 Introduction and Problem Description -- 5.3.2 Related Work -- 5.3.3 The Heuristic Placement Method -- 5.3.4 Integration with Metaheuristic -- 5.3.5 Numerical Experiments and Conclusions -- Appendix -- References -- 6 Integration of Packing and Cutting -- 6.1 An Integrated Approach on Packing and Cut Planning -- 6.1.1 Introduction -- 6.1.2 The Three-Stage Solution -- 6.1.3 Mathematical Modeling -- 6.1.4 The Solving Approach -- 6.1.5 Computational Experiments and Discussion -- 6.2 An Integrated System for Packing and Cutting-Punching -- 6.2.1 Introduction -- 6.2.2 The Overall Structure -- 6.2.3 The Data Structure of IKBS -- 6.2.4 The Knowledge Base of IKBS -- 6.2.5 Case Study and Discussion -- 6.3 An Integrated System for Packing and Sheet Metal Cutting -- 6.3.1 Introduction -- |
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6.3.2 The System Overall Structure. |
6.3.3 Nest Planning -- 6.3.4 CAD/CAPP/CAM -- 6.3.5 Case Study -- References -- 7 Intelligent Algorithms for Cutting Scheduling Problem -- 7.1 Problem Description -- 7.2 Improved Hierarchical Genetic Algorithm for the CSP -- 7.2.1 Introduction -- 7.2.2 Problem Statement and Mathematical Modeling -- 7.2.3 Ant Colony-Hierarchical Genetic Algorithm -- 7.2.4 Computational Experiments -- 7.2.5 Conclusions -- 7.3 Hybrid Genetic Algorithm for the Bi-Objective CSP -- 7.3.1 Introduction -- 7.3.2 Problem Description and Formulation -- 7.3.3 VNSGA III Based on Reference Points -- 7.3.4 Evaluation Metric -- 7.3.5 Experimental Design and Results -- 7.4 GWO Algorithm for the Bi-Objective CSP -- 7.4.1 Introduction -- 7.4.2 Problem Description and Formulation -- 7.4.3 Reference-Point-Based GWO Algorithm -- 7.4.4 Experimental Design and Results -- References -- 8 Application on Laser Cutting of Metal Sheets -- 8.1 Introduction to LaserCAM Software -- 8.1.1 Graphics Module -- 8.1.2 Packing Module -- 8.1.3 Laser Cutting Module -- 8.1.4 NC and Report Module -- 8.2 Case 1: Rectangular Packing and Cutting -- 8.3 Case 2: Irregular Packing and Cutting. |
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3. |
Record Nr. |
UNINA9910300401303321 |
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Autore |
Kanazawa Naoya |
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Titolo |
Charge and Heat Transport Phenomena in Electronic and Spin Structures in B20-type Compounds / / by Naoya Kanazawa |
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Pubbl/distr/stampa |
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Tokyo : , : Springer Japan : , : Imprint : Springer, , 2015 |
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ISBN |
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Edizione |
[1st ed. 2015.] |
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Descrizione fisica |
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1 online resource (96 p.) |
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Collana |
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Springer Theses, Recognizing Outstanding Ph.D. Research, , 2190-5053 |
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Disciplina |
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Soggetti |
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Superconductivity |
Superconductors |
Surfaces (Physics) |
Interfaces (Physical sciences) |
Thin films |
Phase transformations (Statistical physics) |
Condensed matter |
Materials—Surfaces |
Strongly Correlated Systems, Superconductivity |
Surface and Interface Science, Thin Films |
Quantum Gases and Condensates |
Surfaces and Interfaces, Thin Films |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references at the end of each chapters. |
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Nota di contenuto |
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Introduction -- Experimental methods -- Magnetic and transport properties in B20-type germanides -- 3D skyrmion-lattice and topological Hall effect in MnGe -- Skyrmion formation in epitaxial FeGe thin films -- 3D Dirac electrons and large thermoelectric properties in CoGe -- Conclusion. |
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Sommario/riassunto |
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This thesis presents systematic experimental research on chiral-lattice crystals referred to as B20-type germanium compounds, especially focusing on skyrmion spin textures and Dirac electrons. An emergent electromagnetic field observed in MnGe demonstrates a formation of three-dimensional skyrmion crystals. Detection of skyrmions in nanoscale Hall bar devices made of FeGe is realized by measuring the topological Hall effect, a transport property reflecting emergent fields produced by skyrmions. By measuring the electron-filling dependence of thermopower in CoGe, a pronounced thermoelectric property in this compound is revealed to stem from the asymmetric density of states appearing at certain levels of Fermi energy in the Dirac electron state. The three main results named above will contribute to enriching a variety of novel electromagnetic responses of emergent gauge fields in solids, to realizing high-performance skyrmion-based magnetic memory, and to designing high-efficiency thermoelectric materials, respectively. |
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