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Books on the topic 'Meta-heuristic'

Author: Grafiati
Published: 4 June 2021
Last updated: 14 June 2025

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1

Bozorg-Haddad, Omid, Mohammad Solgi, and Hugo A. Loáiciga. Meta-Heuristic and Evolutionary Algorithms for Engineering Optimization. John Wiley & Sons, Inc., 2017. http://dx.doi.org/10.1002/9781119387053.

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2

Kaveh, Ali, and Ataollah Zaerreza. Structural Optimization Using Shuffled Shepherd Meta-Heuristic Algorithm. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-25573-1.

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3

Khari, Manju, Deepti Bala Mishra, Biswaranjan Acharya, and Ruben Gonzalez Crespo, eds. Optimization of Automated Software Testing Using Meta-Heuristic Techniques. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-07297-0.

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4

Mohanty, Mihir Narayan, Swagatam Das, Mitrabinda Ray, and Bichitrananda Patra, eds. Meta Heuristic Techniques in Software Engineering and Its Applications. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-11713-8.

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5

Kaveh, Ali, and Majid Ilchi Ghazaan. Meta-heuristic Algorithms for Optimal Design of Real-Size Structures. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-78780-0.

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6

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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7

Castillo, Oscar, and Luis Rodriguez. A New Meta-heuristic Optimization Algorithm Based on the String Theory Paradigm from Physics. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-82288-0.

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8

James, John Charles. The location of protection devices on electrical supply tree networks: Constructive and meta heuristic approaches. University of Birmingham, 1999.

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9

Vasant, Pandian. Meta-heuristics optimization algorithms in engineering, business, economics, and finance. Information Science Reference, 2013.

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10

Simske, Steven J. Meta-algorithmics: Patterns for robust, low cost, high quality systems. John Wiley & Sons Inc., 2013.

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11

Kumar, Anuj, Sangeeta Pant, Mangey Ram, and Om Yadav, eds. Meta-heuristic Optimization Techniques. De Gruyter, 2021. http://dx.doi.org/10.1515/9783110716214.

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12

Kumar, Anuj, Mangey Ram, Sangeeta Pant, and Om Yadav. Meta-Heuristic Optimization Techniques: Applications in Engineering. de Gruyter GmbH, Walter, 2021.

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13

Kumar, Anuj, Mangey Ram, Sangeeta Pant, and Om Yadav. Meta-Heuristic Optimization Techniques: Applications in Engineering. de Gruyter GmbH, Walter, 2021.

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14

Kumar, Anuj, Mangey Ram, Sangeeta Pant, and Om Yadav. Meta-Heuristic Optimization Techniques: Applications in Engineering. de Gruyter GmbH, Walter, 2021.

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15

Meta-Heuristic and Evolutionary Algorithms for Engineering Optimization. Wiley & Sons, Limited, John, 2017.

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16

Bozorg-Haddad, Omid, Mohammad Solgi, and Hugo A. Loáiciga. Meta-Heuristic and Evolutionary Algorithms for Engineering Optimization. Wiley & Sons, Limited, John, 2017.

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17

Bozorg-Haddad, Omid, Mohammad Solgi, and Hugo A. Lo�iciga. Meta-Heuristic and Evolutionary Algorithms for Engineering Optimization. Wiley & Sons, Incorporated, John, 2017.

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18

Bozorg-Haddad, Omid, Mohammad Solgi, and Hugo A. Loáiciga. Meta-Heuristic and Evolutionary Algorithms for Engineering Optimization. Wiley & Sons, Incorporated, John, 2017.

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19

Use of Meta-Heuristic Techniques in Rainfall-Runoff Modelling. MDPI, 2017. http://dx.doi.org/10.3390/books978-3-03842-327-0.

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20

Korosec, Peter, and Tome Eftimov. Deep Statistical Comparison for Meta-Heuristic Stochastic Optimization Algorithms. Springer International Publishing AG, 2022.

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21

Sangaiah, Arun Kumar, Pradeep Kumar Mallick, Gyoo-Soo Chae, Sushruta Mishra, and Hrudaya Kumar Tripathy. Cognitive Big Data Intelligence with a Meta-Heuristic Approach. Elsevier Science & Technology, 2021.

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22

Sangaiah, Arun Kumar, Pradeep Kumar Mallick, Gyoo-Soo Chae, Sushruta Mishra, and Hrudaya Kumar Tripathy. Cognitive Big Data Intelligence with a Meta-Heuristic Approach. Elsevier Science & Technology Books, 2021.

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23

Mishra, Deepti Bala, Manju Khari, Biswaranjan Acharya, and Ruben Gonzalez Crespo. Optimization of Automated Software Testing Using Meta-Heuristic Techniques. Springer International Publishing AG, 2022.

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24

Arpaia, Pasquale, Carlo Manna, and Annalisa Liccardo. Automatic Monitoring, Fault Diagnostics, and Maintenance: Using Meta-Heuristic Optimization. Taylor & Francis Group, 2020.

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25

Ghazaan, M. Ilchi, and Ali Kaveh. Meta-Heuristic Algorithms for Optimal Design of Real-size Structures. Springer International Publishing AG, 2018.

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26

Kaveh, Ali, and Majid Ilchi Ghazaan. Meta-heuristic Algorithms for Optimal Design of Real-Size Structures. Springer, 2019.

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27

Ray, Mitrabinda, Bichitrananda Patra, Swagatam Das, and Mihir Narayan Mohanty. Meta Heuristic Techniques in Software Engineering and Its Applications: Metasoft 2022. Springer International Publishing AG, 2022.

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28

Ray, Mitrabinda, Bichitrananda Patra, Swagatam Das, and Mihir Narayan Mohanty. Meta Heuristic Techniques in Software Engineering and Its Applications: Metasoft 2022. Springer International Publishing AG, 2023.

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29

Delgoshaei, Aidin, and Gursel Suer. Meta-Heuristic Algorithms in Production Engineering: Recent Advances, New Perspectives, and Applications. Elsevier Science & Technology Books, 2022.

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30

Castillo, Oscar, Patricia Melin, Fevrier Valdez, and Frumen Olivas. Dynamic Parameter Adaptation for Meta-Heuristic Optimization Algorithms Through Type-2 Fuzzy Logic. Springer, 2018.

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31

Rodriguez, Luis, and Oscar Castillo. New Meta-Heuristic Optimization Algorithm Based on the String Theory Paradigm from Physics. Springer International Publishing AG, 2021.

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32

Kay, Michael G., and Aidin Delgoshaei. Meta-Heuristic Algorithms in Supply Chain, Logistics and Transportation: Recent Advances, New Perspectives and Applications. Wiley & Sons, Incorporated, John, 2022.

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33

Kay, Michael G., and Aidin Delgoshaei. Meta-Heuristic Algorithms in Supply Chain, Logistics and Transportation: Recent Advances, New Perspectives and Applications. Wiley & Sons, Limited, John, 2020.

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34

Kay, Michael G., and Aidin Delgoshaei. Meta-Heuristic Algorithms in Supply Chain, Logistics and Transportation: Recent Advances, New Perspectives and Applications. Wiley & Sons, Incorporated, John, 2022.

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35

Maulik, Ujjwal, Siddhartha Bhattacharyya, and Sandip Dey. Quantum Inspired Meta-Heuristics for Image Analysis. Wiley & Sons, Limited, John, 2019.

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36

Maulik, Ujjwal, Siddhartha Bhattacharyya, and Sandip Dey. Quantum Inspired Meta-Heuristics for Image Analysis. Wiley & Sons, Limited, John, 2019.

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37

Maulik, Ujjwal, Siddhartha Bhattacharyya, and Sandip Dey. Quantum Inspired Meta-Heuristics for Image Analysis. Wiley & Sons, Incorporated, John, 2019.

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38

Maulik, Ujjwal, Siddhartha Bhattacharyya, and Sandip Dey. Quantum Inspired Meta-Heuristics for Image Analysis. Wiley & Sons, Incorporated, John, 2019.

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39

Verschaffel, Lieven, Fien Depaepe, and Wim Van Dooren. Individual Differences in Word Problem Solving. Edited by Roi Cohen Kadosh and Ann Dowker. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199642342.013.040.

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There is currently a rather broad consensus that the competencies that are required to solve word problems involve: (a) a well-organized and flexibly accessible knowledge base involving the relevant factual, conceptual, and procedural knowledge that is relevant for solving word problems; (b) heuristic methods, i.e. search strategies for problem analysis and transformation which increase the probability of finding a solution; (c) metacognition, involving both metacognitive knowledge and metacognitive skills; (d) positive task-related affects, involving positive beliefs, attitudes, and emotions; and (e) meta-affect, involving knowledge about one’s affects and skills for regulating one’s affective processes. The present chapter reviews and discusses research that provides a view on how individual differences in performance on word problems can be related to each of these components.
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40

LaRocca, David, ed. Metacinema. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780190095345.001.0001.

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When a work of art shows an interest in its own status as a work of art—either by reference to itself or to other works—we have become accustomed to calling this move “meta.” While scholars and critics have, for decades, referred to reflexivity in films, it is only here, for the first time, that a group of leading and emerging film theorists joins to directly and systematically address with clarity and rigor the meanings and implications of the meta for cinema. In ten new essays and a selection of vital canonical works, contributors chart, explore, and advance the ways in which metacinema is at once a mode of filmmaking and a heuristic for studying cinematic attributes. What we have here, then, is not just an engagement with certain practices and concepts in widespread use in the movies (from Hollywood to global cinema, from documentary to the experimental and avant-garde), but also the development of a veritable and vital new genre of film studies. Since metacinema has become an increasingly prominent cultural phenomenon—a kind of art and logic familiar to everyday experience around the world—its abundance and pervasiveness draws our attention. With more and more films expressing reflexivity, recursion, reference to other films, mise en abîme, seriality, and exhibiting related intertextual traits, the time is overdue for the kind of capacious yet nuanced critical study now in hand.
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41

Simske, Steven J. Meta-Algorithmics: Patterns for Robust, Low Cost, High Quality Systems. Wiley & Sons, Incorporated, John, 2013.

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42

Simske, Steven J. Meta-Algorithmics: Patterns for Robust, Low Cost, High Quality Systems. Wiley & Sons, Incorporated, John, 2013.

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43

Simske, Steven J. Meta-Algorithmics: Patterns for Robust, Low Cost, High Quality Systems. Wiley & Sons, Limited, John, 2013.

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44

Simske, Steven J. Meta-Algorithmics: Patterns for Robust, Low Cost, High Quality Systems. Wiley & Sons, Incorporated, John, 2013.

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45

Simske, Steven J. Meta-Algorithmics: Patterns for Robust, Low Cost, High Quality Systems. Wiley & Sons, Incorporated, John, 2013.

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46

Jennings, Len, and Thomas Skovholt. Expertise in Counseling and Psychotherapy. Oxford University Press, 2016. http://dx.doi.org/10.1093/med:psych/9780190222505.001.0001.

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Expertise in Counseling and Psychotherapy features seven master therapist studies from around the world and provides an extensive synthesis of these studies to produce the first international perspective of expert counselors and psychotherapists. The study of expertise has a rich history, whereas research on psychotherapy expertise has mostly surfaced in the past two decades. Jennings and Skovholt first applied qualitative methodology to the study of expert therapists in 1996. Qualitative research has proven to be an extremely effective method for capturing the complexity of the master therapist construct. One limitation of this line of research is that most studies have been conducted in the United States. Fortunately, there are a small but growing number of international qualitative studies on psychotherapy expertise. Moreover, these studies utilized essentially the same research questions and methodologies as our first study on expert therapists, making the consolidation of the findings seamless and trustworthy. The studies include three therapist expertise research projects in Southeast Asia, including Singapore, Japan, and Korea. In North America, there are studies from the United States and Canada. In Europe, there are studies from Portugal and the Czech Republic. The qualitative meta-analysis of all seven data sets is the highlight of our book on master therapists from around the world. The findings and recommendations from this book will enhance the training of future psychotherapists and counselors. Understanding the universal characteristics of expert therapists practicing around the world offers training programs and mental health practitioners a heuristic for optimal therapist and counselor development.
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47

Olguín, B. V. Violentologies. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198863090.001.0001.

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Violentologies: Violence, Identity, and Ideology in Latina/o Literature explores how various forms of violence undergird a wide range of Latina/o subjectivities, or Latinidades, from 1835 to the present. Drawing upon the Colombian interdisciplinary field of Violence studies known as violentología, which examines the transformation of Colombian society during a century of political and interpersonal violence, this book adapts the neologism violentology as a heuristic device and epistemic category to map the salience of violence in Latina/o history, life, and culture in the United States and globally. The term violentologies thus refers to culturally specific subjects defined by violence—or violence-based ontologies—ranging from Latina/o-warrior archetypes to diametrically opposed pacifist modalities, plus many more. It also signifies the epistemologies of violence: the political and philosophical logic and goals of certain types of violence such as torture, military force, and other forms of political and interpersonal harm. Based on one hundred primary texts and archival documents from an expansive range of Latina/o communities—Chicana/o, Puerto Rican, Cuban American, Salvadoran American, Guatemalan American, and various mixed-heritages and transversal hybridities throughout the world—Violentologies features multiple generations of Latina/o combatants, wartime noncombatants, and “peacetime” civilians whose identities and ideologies extend through, and far beyond, familiar Latinidades. Based on this discrepant archive, Violentologies articulates a contrapuntal assessment of the inchoate, contradictory, and complex range of violence-based Latina/o ontologies and epistemologies, and corresponding negotiations of power, or ideologies, pursuant to an expansive and meta-critical Pan-Latina/o methodology. Accordingly, this book ultimately proposes an antiidentitarian post-Latina/o paradigm.
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