"A Bayesian Optimisation Approach for Multidimensional Knapsack Problem"

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Book	Author(s)	Year	Publisher
A branch and exclude algorithm for the knapsack problem	Robert Lawrence Hegerich	1968	Naval Postgraduate School;Available from National Technical Information Service
Prosocial Development: A Multidimensional Approach	Laura M. Padilla-Walker; Gustavo Carlo	2014	Oxford University Press
Analytic Combinatorics: A Multidimensional Approach	Marni Mishna	2019	Routledge
Prosocial Development: A Multidimensional Approach	Gustavo Carlo	2016	Oxford University Press, Incorporated
Decision analysis: a Bayesian approach	J. Q. Smith	1988	Chapman and Hall
Bayesian Core: A Practical Approach to Computational Bayesian Statistics	Jean-Michel Marin; Christian Robert	2007	Springer New York
Borderline personality disorder: a multidimensional approach /	Paris, Joel,	[1994], ©1994.	American Psychiatric Press, Inc.,
Fatigue in cancer: a multidimensional approach	Margaret Barton-Burke	2000	Jones and Bartlett
Structural Equation Modeling - A Bayesian Approach	Sik-Yum Lee Ph.D.,	2007	John Wiley & Sons
Nonlinear Mixture Models: A Bayesian Approach	Tatiana Tatarinova, Alan Schumitzky	2015	Imperial College Press
Bayesian Statistics for Beginners: a step-by-step approach	Therese Donovan; Ruth M. Mickey	2019	Oxford University Press
Economic Transformation for Poverty Reduction in Africa: A Multidimensional Approach	Almas Heshmati	2017	Routledge
Economic transformation for poverty reduction in Africa: a multidimensional approach /	Heshmati, Almas,		Taylor & Francis Group
Masculinities and the Law: A Multidimensional Approach	Frank Rudy Cooper; Ann C. McGinley	2012	NYU Press
Analyzing Multidimensional Well-Being: A Quantitative Approach	Satya R. Chakravarty	2017	John Wiley & Sons
Development scenario of Mizoram: a multidimensional approach /	Nunchunga, J. V.,; Zoramthanga,; Lalremruati, Maria,
Elements of regional integration: a multidimensional approach		2008	Nomos
Management and organizational behavior: a multidimensional approach	Billy J. Hodge	1970	Wiley
Understanding Neurology a problem-orientated approach: A Problem-Oriented Approach	John Greene; Ian Bone	2013	Routledge
A book for every soldier's knapsack.	Robert Dodge	1861	J. Miller
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
A Bayesian Optimisation Approach for Multidimensional Knapsack Problem	Hanyu Gu; Alireza Etminaniesfahani; Amir Salehipour	Optimization and Learning: 4th International Conference, OLA 2021, Catania, Italy, June 21-23, 2021, Proceedings	Bernabé Dorronsoro; Lionel Amodeo; Mario Pavone; Patricia Ruiz	1st ed. 2021	Springer International Publishing
Extremal Optimisation with a Penalty Approach for the Multidimensional Knapsack Problem	Pedro Gómez-Meneses; Marcus Randall	Simulated Evolution and Learning: 7th International Conference, SEAL 2008, Melbourne, Australia, December 7-10, 2008, Proceedings	Xiaodong Li; Michael Kirley; Mengjie Zhang; Vic Ciesielski; Zbigniew Michalewicz; Tim Hendtlass; Kalyanmoy Deb; K. C. Tan; Jürgen Branke	2008	Springer Berlin Heidelberg
Multidimensional Knapsack Problem		Ant Colony Optimization and Swarm Intelligence: 5th International Workshop, ANTS 2006, Brussels, Belgium, September 4-7, 2006, Proceedings	Chris Sells, Ian Griffiths	2006	Springer
A Differentiating Evolutionary Computation Approach for the Multidimensional Knapsack Problem	Meysam Mohagheghi Fard; Yoon-Teck Bau; Chien-Le Goh	Advances in Swarm Intelligence: Third International Conference, ICSI 2012, Shenzhen, China, June 17-20, 2012, Proceedings, Part I	Ying Tan; Yuhui Shi; Zhen Ji	1st ed. 2012	Springer Berlin Heidelberg
5 The multidimensional knapsack problem		Graphs and Algorithms	Michel Gondran, Michel Minoux	1984	John Wiley & Sons
A Bayesian Approach to Multiobjective Optimisation	Paolo Di Barba	Multiobjective Shape Design in Electricity and Magnetism	Paolo Di Barba	2010	Springer Netherlands
A New Hybrid Algorithm for the Multidimensional Knapsack Problem	Xiaoxia Zhang; Zhe Liu; Qiuying Bai	Bio-Inspired Computing and Applications: 7th International Conference on Intelligent Computing, ICIC2011, Zhengzhou, China, August 11-14. 2011, Revised Papers	De-Shuang Huang; Yong Gan; Prashan Premaratne; Kyungsook Han	2012	Springer Berlin Heidelberg
Explaining Bayesian Heuristic Approach by Example of Knapsack Problem	Jonas Mockus	A Set of Examples of Global and Discrete Optimization: Applications of Bayesian Heuristic Approach	Jonas Mockus	2000	Springer US
The Core Concept for the Multidimensional Knapsack Problem	Jakob Puchinger; Günther R. Raidl; Ulrich Pferschy	Evolutionary Computation in Combinatorial Optimization: 6th European Conference, EvoCOP 2006, Budapest, Hungary, April 10-12, 2006, Proceedings	Jens Gottlieb; Günther R. Raidl	2006	Springer Berlin Heidelberg
Particle Swarm Optimization for the Multidimensional Knapsack Problem	Fernanda Hembecker; Heitor S. Lopes; Walter Godoy Jr.	Adaptive and Natural Computing Algorithms: 8th International Conference, ICANNGA 2007, Warsaw, Poland, April 11-14, 2007, Proceedings, Part I	Bartlomiej Beliczynski; Andrzej Dzielinski; Marcin Iwanowski; Bernadete Ribeiro	2007	Springer Berlin Heidelberg
Water Wave Optimization for the Multidimensional Knapsack Problem	Hong-Fang Yan; Ci-Yun Cai; De-Huai Liu; Min-Xia Zhang	Intelligent Computing Theories and Application: 15th International Conference, ICIC 2019, Nanchang, China, August 3–6, 2019, Proceedings, Part II	De-Shuang Huang; Kang-Hyun Jo; Zhi-Kai Huang	1st ed. 2019	Springer International Publishing
Multidimensional Knapsack Problems	Hans Kellerer; Ulrich Pferschy; David Pisinger	Knapsack Problems	Hans Kellerer; Ulrich Pferschy; David Pisinger	2004	Springer Berlin Heidelberg
Multidimensional Knapsack Problems	J. E. Beasley	Encyclopedia of Optimization	Christodoulos A. Floudas; Panos M. Pardalos	2001	Springer US
Multidimensional Knapsack Problems	John E. Beasley	Encyclopedia of Optimization	Christodoulos A. Floudas; Panos M. Pardalos	2nd ed. 2009	Springer US
Multidimensional Knapsack Problems		Reference Encyclopedia of Optimization		2009	Springer
A Dynamic Approach for the Online Knapsack Problem	Hajer Ben-Romdhane; Sihem Ben Jouida; Saoussen Krichen	Modeling Decisions for Artificial Intelligence: 11th International Conference, MDAI 2014, Tokyo, Japan, October 29-31, 2014, Proceedings	Vicenç Torra; Yasuo Narukawa; Yasunori Endo	2014	Springer International Publishing
A Shuffled Complex Evolution Algorithm For the Multidimensional Knapsack Problem	Marcos Daniel Valadão Baroni; Flávio Miguel Varejão	Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications: 20th Iberoamerican Congress, CIARP 2015, Montevideo, Uruguay, November 9-12, 2015, Proceedings	Alvaro Pardo; Josef Kittler	1st ed. 2015	Springer International Publishing
An Investigation into Prediction + Optimisation for the Knapsack Problem	Emir Demirović; Peter J. Stuckey; James Bailey; Jeffrey Chan; Chris Leckie; Kotagiri Ramamohanarao et al.	Integration of Constraint Programming, Artificial Intelligence, and Operations Research: 16th International Conference, CPAIOR 2019, Thessaloniki, Greece, June 4–7, 2019, Proceedings	Louis-Martin Rousseau; Kostas Stergiou	1st ed. 2019	Springer International Publishing
New Hybrid Matheuristics for Solving the Multidimensional Knapsack Problem	Saïd Hanafi; Jasmina Lazić; Nenad Mladenović; Christophe Wilbaut; Igor Crévits	Hybrid Metaheuristics: 7th International Workshop, HM 2010, Vienna, Austria, October 1-2, 2010, Proceedings	Maria José Blesa; Christian Blum; Günther Raidl; Andrea Roli; Michael Sampels	2010	Springer Berlin Heidelberg
An FPTAS for the \(\varDelta \) -Modular Multidimensional Knapsack Problem	D. V. Gribanov	Mathematical Optimization Theory and Operations Research: 20th International Conference, MOTOR 2021, Irkutsk, Russia, July 5–10, 2021, Proceedings	Panos Pardalos; Michael Khachay; Alexander Kazakov	1st ed. 2021	Springer International Publishing
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