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1

Gulati, Kanupriya, ed. Advanced Techniques in Logic Synthesis, Optimizations and Applications. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-7518-8.

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2

Khatri, Sunil P. Advanced techniques in logic synthesis, optimizations and applications. Springer, 2011.

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3

Kastner, Ryan. Synthesis techniques and optimizations for reconfigurable systems. Kluwer Academic Publishers, 2004.

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4

Sasao, Tsutomu, ed. Logic Synthesis and Optimization. Springer US, 1993. http://dx.doi.org/10.1007/978-1-4615-3154-8.

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5

McAloon, Kenneth. Optimization and computational logic. Wiley, 1996.

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6

Sasao, Tsutomu. Logic Synthesis and Optimization. Springer US, 1993.

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7

Hooker, John. Logic-Based Methods for Optimization. John Wiley & Sons, Inc., 2000. http://dx.doi.org/10.1002/9781118033036.

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8

Ames Research Center. Artificial Intelligence Research Branch., ed. Efficient dynamic optimization of logic programs. NASA Ames Research Center, Artificial Intelligence Research Branch, 1992.

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9

Ames Research Center. Artificial Intelligence Research Branch., ed. Efficient dynamic optimization of logic programs. NASA Ames Research Center, Artificial Intelligence Research Branch, 1992.

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10

Chandru, Vijay. Optimization methods for logical inference. Wiley, 1999.

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11

1953-, Villa Tiziano, ed. Synthesis of finite state machines: Logic optimization. Kluwer Academic, 1997.

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12

Villa, Tiziano. Synthesis of Finite State Machines: Logic Optimization. Springer US, 1997.

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13

Castillo, Oscar, and Patricia Melin, eds. Fuzzy Logic Augmentation of Nature-Inspired Optimization Metaheuristics. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-10960-2.

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14

Chen, Guoqing. Fuzzy Logic and Soft Computing. Springer US, 1999.

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15

Barth, Peter. Logic-Based 0-1 Constraint Programming. Springer US, 1996.

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16

Höhle, Ulrich. Mathematics of Fuzzy Sets: Logic, Topology, and Measure Theory. Springer US, 1999.

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17

Woodruff, David L., ed. Advances in Computational and Stochastic Optimization, Logic Programming, and Heuristic Search. Springer US, 1998. http://dx.doi.org/10.1007/978-1-4757-2807-1.

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18

Adeli, Hojjat. Cost optimization of structures: Fuzzy logic, genetic algorithms, and parallel computing. Wiley, 2006.

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19

Lodwick, Weldon A., and Janusz Kacprzyk. Fuzzy optimization: Recent advances and applications. Springer, 2010.

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20

Xiaoqi, Yang, ed. Duality in optimization and variational inequalities. Taylor & Francis, 2002.

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21

Castillo, Oscar, and Patricia Melin, eds. Fuzzy Logic Hybrid Extensions of Neural and Optimization Algorithms: Theory and Applications. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68776-2.

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22

Castillo, Oscar, Patricia Melin, and Janusz Kacprzyk, eds. Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-71008-2.

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23

Olivas, Frumen, Fevrier Valdez, Oscar Castillo, and Patricia Melin. Dynamic Parameter Adaptation for Meta-Heuristic Optimization Algorithms Through Type-2 Fuzzy Logic. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-70851-5.

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24

Ramík, Jaroslav. Generalized Concavity in Fuzzy Optimization and Decision Analysis. Springer US, 2002.

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25

Melin, Patricia, Oscar Castillo, and Janusz Kacprzyk, eds. Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-17747-2.

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26

Woodruff, David L. Advances in Computational and Stochastic Optimization, Logic Programming, and Heuristic Search: Interfaces in Computer Science and Operations Research. Springer US, 1998.

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27

Verbruggen, H. B. Fuzzy Algorithms for Control. Springer Netherlands, 1999.

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28

Słowiński, Roman. Fuzzy Sets in Decision Analysis, Operations Research and Statistics. Springer US, 1998.

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29

Heusler, Lucas Sebastian. Transistor sizing for timing optimization of combinational digital CMOS circuits. Hartung-Gorre Verlag, 1990.

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30

Castillo, Oscar, Patricia Melin, and Janusz Kacprzyk, eds. Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-35445-9.

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31

Melin, Patricia, and Oscar Castillo, eds. New Directions on Hybrid Intelligent Systems Based on Neural Networks, Fuzzy Logic, and Optimization Algorithms. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-53713-4.

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32

Golan, Jonathan S. Semirings and their Applications. Springer Netherlands, 1999.

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33

Golan, Jonathan S. Semirings and Affine Equations over Them: Theory and Applications. Springer Netherlands, 2003.

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34

International Workshop on Approximation Algorithms for Combinatorial Optimization Problems (7th 2004 Cambridge, Mass.). Approximation, randomization, and combinatorial optimization : algorithms and techniques: 7th International Workshop on Approximation Algorithms for Combinatorial Optimization Problems, APPROX 2004, and 8th International Workshop on Randomization and Computation, RANDOM 2004, Cambridge, MA, USA, August 22-24, 2004 : proceedings. Springer, 2004.

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35

L, Woodruff David, ed. Advances in computational and stochastic optimization, logic programming, and heuristic search: Interfaces in computer science and operations research. Kluwer Academic Publishers, 1998.

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36

Vasil'eva, Natal'ya. Mathematical models in the management of copper production: ideas, methods, examples. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1014071.

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Presents the current status in modelling of metallurgical processes considered by the model the mathematical model used in the description of the processes of copper production and their classification. Set out a system of methods and models in the field of mathematical modeling of technological processes, including balance sheet, statistics, optimization models, forecasting models and predictive models. For specific technological processes are developed: the model of the balance of the cycle of pyrometallurgical production of copper, polynomial model for prediction of matte composition on the
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37

Taylor, Cynthia. Algorithm design, user interface, and optimization procedure for a fuzzy logic ramp metering algorithm: A training manual for freeway operations engineers. Washington State Dept. of Transportation, 2000.

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38

Salleh, Shaharuddin. Scheduling in Parallel Computing Systems: Fuzzy and Annealing Techniques. Springer US, 1999.

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39

Fuhrer, Robert M. Sequential optimization of asynchronous and synchronous finite-state machines: Algorithms and tools. Kluwer Academic Publishers, 2001.

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40

Kamareddine, Fairouz D. Thirty Five Years of Automating Mathematics. Springer Netherlands, 2003.

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41

Ruan, Da. Fuzzy If-Then Rules in Computational Intelligence: Theory and Applications. Springer US, 2000.

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42

Gulati, Kanupriya. Advanced Techniques in Logic Synthesis, Optimizations and Applications. Springer, 2011.

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43

Gulati, Kanupriya. Advanced Techniques in Logic Synthesis, Optimizations and Applications. Springer New York, 2014.

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44

Kastner, Ryan, Adam Kaplan, and Majid Sarrafzadeh. Synthesis Techniques and Optimizations for Reconfigurable Systems. Springer, 2003.

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45

Kastner, Ryan, Adam Kaplan, and Majid Sarrafzadeh. Synthesis Techniques and Optimizations for Reconfigurable Systems. Springer, 2010.

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46

Logic synthesis and optimization. Kluwer Academic Publishers, 1993.

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47

Fuzzy Logic and Optimization. Alpha Science Int'l Ltd, 2006.

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48

Logic-Based Methods for Optimization. Wiley & Sons Canada, Limited, John, 2014.

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49

Hooker, John. Logic-Based Methods for Optimization: Combining Optimization and Constraint Satisfaction. Wiley & Sons, Incorporated, John, 2011.

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50

Hooker, John. Logic-Based Methods for Optimization: Combining Optimization and Constraint Satisfaction. Wiley & Sons, Incorporated, John, 2011.

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