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Journal articles on the topic 'Diversity search'

Author: Grafiati

Published: 25 May 2024

Last updated: 31 July 2025

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1

Ishiguro, Shingo. "Contracts, search, and organizational diversity." European Economic Review 54, no. 5 (2010): 678–91. http://dx.doi.org/10.1016/j.euroecorev.2009.12.002.

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2

Linhares, Alexandre, and Horacio Hideki Yanasse. "Search intensity versus search diversity: a false trade off?" Applied Intelligence 32, no. 3 (2008): 279–91. http://dx.doi.org/10.1007/s10489-008-0145-8.

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3

Muralidhara, Koteshwara. "In Search of Unity in Diversity." Indian Journal of Endocrinology and Metabolism 26, no. 2 (2022): 191. http://dx.doi.org/10.4103/ijem.ijem_74_22.

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4

Raman, Karthik, Paul N. Bennett, and Kevyn Collins-Thompson. "Understanding Intrinsic Diversity in Web Search." ACM Transactions on Information Systems 32, no. 4 (2014): 1–45. http://dx.doi.org/10.1145/2629553.

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5

Meighan, Clement W. "Letters: In Search of Intellectual Diversity." Academe 80, no. 5 (1994): 3. http://dx.doi.org/10.2307/40250654.

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6

Krestel, Ralf, and Peter Fankhauser. "Reranking web search results for diversity." Information Retrieval 15, no. 5 (2011): 458–77. http://dx.doi.org/10.1007/s10791-011-9179-3.

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7

Qasim Khan, Haseeb Muhammad, Muhammad Haseeb Shakil, Nurul Wahidah Mahmud Zuhudi, Sayyed Zaman Haider, and Rabika Nadeem. "Freedom of expression in films: A qualitative study exploring challenges and opportunitiesin Pakistan." SEARCH Journal Media and Communication Research 16, no. 2 (2024): 18–33. http://dx.doi.org/10.58946/search-16.2.p2.

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The study delves into the complicated prospect of freedom of expression in the film industry, specifically focused on Pakistan. It starts by recognising the historical and worldwide importance of free speech in cinema and its vital role in formulating cultural stories. The study adopted a qualitative approach using in-depth interviews and the participants of the study comprised filmmakers and actors. The study aimed to identify challenges and opportunities essential for steering innovative boundaries, censorship, and societal expectations in Pakistan’s film industry. Results reveal a composite

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8

Bendl, Regine, Alexander Fleischmann, and Angelika Schmidt. "In Search for Diversity in Alternative Organizations." Academy of Management Proceedings 2018, no. 1 (2018): 17134. http://dx.doi.org/10.5465/ambpp.2018.17134abstract.

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9

Yom-Tov, Elad, Susan Dumais, and Qi Guo. "Promoting Civil Discourse Through Search Engine Diversity." Social Science Computer Review 32, no. 2 (2013): 145–54. http://dx.doi.org/10.1177/0894439313506838.

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10

Yin, Xiao, Le Song, and Ying Pan. "Diversity in knowledge search paths and breakthrough technological innovation: Evidence from new energy vehicle firms." PLOS One 20, no. 6 (2025): e0326736. https://doi.org/10.1371/journal.pone.0326736.

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Breakthrough technological innovations have heralded a transformative era within the automotive industry. Knowledge search diversity, as the key to acquiring the raw materials for knowledge recombination, enables firms to overcome resource constraints and accelerate the realization of breakthrough technological innovations. This paper integrates the theories of organizational search and knowledge recombination theory and draws upon the relationship between knowledge and industry to distinguish between basic knowledge search diversity and applied knowledge search diversity. It further investiga

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11

Ghansah, Benjamin, and Shengli Wu. "A Mean-Variance Analysis Based Approach for Search Result Diversification in Federated Search." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 24, no. 02 (2016): 195–211. http://dx.doi.org/10.1142/s0218488516500100.

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Resource Selection is an important step in a federated search environment. The goal of this work was to improve the collection selection process by selecting collections in terms of relevance and diversity, to best answer a user's query. Sampled documents from the Central Sample Database are first ranked by Indri retrieval algorithm and later re-ranked by a Mean-Standard deviation method that reduces uncertainty and improves diversity of collection sources. A comparative evaluation with the R-based diversification metrics shows that the proposed method significantly outperforms the baseline di

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12

Messeni Petruzzelli, Antonio, and Daniele Rotolo. "Institutional diversity, internal search behaviour, and joint-innovations." Management Decision 53, no. 9 (2015): 2088–106. http://dx.doi.org/10.1108/md-05-2014-0256.

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Purpose – The purpose of this paper is to investigate the innovation performance of R & D collaborations from an institutional perspective. Design/methodology/approach – The authors conduct an empirical analysis based on 487 joint-inventions developed by 50 US biotechnology firms from 1985 to 2002. Findings – The authors find that institutional diversity between the partners, as reflected by firm-university partnerships, positively affects the value of their joint-innovation. This effect is reinforced by the firm’s behaviour in searching for knowledge broadly (scope) and in the non-commerc

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13

Kirby, Katherine E. "Intercultural Dialogue: in Search of Harmony in Diversity." Journal of Intercultural Studies 39, no. 1 (2017): 108–10. http://dx.doi.org/10.1080/07256868.2017.1379963.

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14

Huang, Xin, Hong Cheng, Rong-Hua Li, Lu Qin, and Jeffrey Xu Yu. "Top-K structural diversity search in large networks." Proceedings of the VLDB Endowment 6, no. 13 (2013): 1618–29. http://dx.doi.org/10.14778/2536258.2536272.

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15

Eravci, Bahaeddin, and Hakan Ferhatosmanoglu. "Diversity based relevance feedback for time series search." Proceedings of the VLDB Endowment 7, no. 2 (2013): 109–20. http://dx.doi.org/10.14778/2732228.2732230.

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16

Wang, Xiaojie, Ji-Rong Wen, Zhicheng Dou, Tetsuya Sakai, and Rui Zhang. "Search Result Diversity Evaluation Based on Intent Hierarchies." IEEE Transactions on Knowledge and Data Engineering 30, no. 1 (2018): 156–69. http://dx.doi.org/10.1109/tkde.2017.2729559.

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17

Palubeckis, Gintaras. "Iterated tabu search for the maximum diversity problem." Applied Mathematics and Computation 189, no. 1 (2007): 371–83. http://dx.doi.org/10.1016/j.amc.2006.11.090.

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18

Wang, Hui, Hui Sun, Changhe Li, Shahryar Rahnamayan, and Jeng-shyang Pan. "Diversity enhanced particle swarm optimization with neighborhood search." Information Sciences 223 (February 2013): 119–35. http://dx.doi.org/10.1016/j.ins.2012.10.012.

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19

Wu, Zhijing, Ke Zhou, Yiqun Liu, Min Zhang, and Shaoping Ma. "Does Diversity Affect User Satisfaction in Image Search." ACM Transactions on Information Systems 37, no. 3 (2019): 1–30. http://dx.doi.org/10.1145/3320118.

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20

Huang, Xin, Hong Cheng, Rong-Hua Li, Lu Qin, and Jeffrey Xu Yu. "Top-K structural diversity search in large networks." VLDB Journal 24, no. 3 (2015): 319–43. http://dx.doi.org/10.1007/s00778-015-0379-0.

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21

Tsymbal, Alexey, Mykola Pechenizkiy, and Pádraig Cunningham. "Diversity in search strategies for ensemble feature selection." Information Fusion 6, no. 1 (2005): 83–98. http://dx.doi.org/10.1016/j.inffus.2004.04.003.

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22

Ely, Brandon, Winston Koh, Eamen Ho, Tasmina M. Hassan, Anh V. Pham, and Weigang Qiu. "Novelty Search Promotes Antigenic Diversity in Microbial Pathogens." Pathogens 12, no. 3 (2023): 388. http://dx.doi.org/10.3390/pathogens12030388.

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Driven by host–pathogen coevolution, cell surface antigens are often the fastest evolving parts of a microbial pathogen. The persistent evolutionary impetus for novel antigen variants suggests the utility of novelty-seeking algorithms in predicting antigen diversification in microbial pathogens. In contrast to traditional genetic algorithms maximizing variant fitness, novelty-seeking algorithms optimize variant novelty. Here, we designed and implemented three evolutionary algorithms (fitness-seeking, novelty-seeking, and hybrid) and evaluated their performances in 10 simulated and 2 empiricall

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23

Bilimoria, Diana, and Kimberly K. Buch. "The Search is On: Engendering Faculty Diversity Through More Effective Search and Recruitment." Change: The Magazine of Higher Learning 42, no. 4 (2010): 27–32. http://dx.doi.org/10.1080/00091383.2010.489022.

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24

Zuhair, Hussein Ali, Kawther Hussein Ahmed, Kareem Abass Haithem, and Fadel Elham. "Extractive multi document summarization using harmony search algorithm." TELKOMNIKA Telecommunication, Computing, Electronics and Control 19, no. 1 (2021): pp. 89~95. https://doi.org/10.12928/TELKOMNIKA.v19i1.15766.

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The exponential growth of information on the internet makes it troublesome for users to get valuable information. Text summarization is the process to overcome such a problem. An adequate summary must have wide coverage, high diversity, and high readability. In this article, a new method for multi document summarization has been supposed based on a harmony search algorithm that optimizes the coverage, diversity, and readability. Concerning the benchmark dataset Text Analysis Conference (TAC-2011), the ROUGE package used to measure the effectiveness of the proposed model. The calculated results

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25

Draws, Tim, Nava Tintarev, and Ujwal Gadiraju. "Assessing Viewpoint Diversity in Search Results Using Ranking Fairness Metrics." ACM SIGKDD Explorations Newsletter 23, no. 1 (2021): 50–58. http://dx.doi.org/10.1145/3468507.3468515.

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The way pages are ranked in search results influences whether the users of search engines are exposed to more homogeneous, or rather to more diverse viewpoints. However, this viewpoint diversity is not trivial to assess. In this paper, we use existing and novel ranking fairness metrics to evaluate viewpoint diversity in search result rankings. We conduct a controlled simulation study that shows how ranking fairness metrics can be used for viewpoint diversity, how their outcome should be interpreted, and which metric is most suitable depending on the situation. This paper lays out important gro

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26

Singh, Vikram. "Predicting Search Intent Based on In-Search Context for Exploratory Search." International Journal of Advanced Pervasive and Ubiquitous Computing 11, no. 3 (2019): 53–75. http://dx.doi.org/10.4018/ijapuc.2019070104.

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Modern information systems are expected to assist users with diverse goals, via exploiting the topical dimension (‘what' the user is searching for) of information needs. However, the intent dimension (‘why' the user is searching) has preferred relatively lesser for the same intention. Traditionally, the intent is an ‘immediate reason, purpose, or goal' that motivates the user search, and captured in search contexts (Pre-search, In-search, Pro-Search), an ideal information system would be able to use. This article proposes a novel intent estimation strategy; based on the intuition that captured

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27

Wang, Dan, Congcong Xiong, and Wei Huang. "Group Search Optimizer for the Mobile Location Management Problem." Scientific World Journal 2014 (2014): 1–8. http://dx.doi.org/10.1155/2014/430705.

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We propose a diversity-guided group search optimizer-based approach for solving the location management problem in mobile computing. The location management problem, which is to find the optimal network configurations of management under the mobile computing environment, is considered here as an optimization problem. The proposed diversity-guided group search optimizer algorithm is realized with the aid of diversity operator, which helps alleviate the premature convergence problem of group search optimizer algorithm, a successful optimization algorithm inspired by the animal behavior. To addre

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28

Denecke, K. "An Architecture for Diversity-aware Search for Medical Web Content." Methods of Information in Medicine 51, no. 06 (2012): 549–56. http://dx.doi.org/10.3414/me11-02-0022.

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SummaryObjectives: The Web provides a huge source of information, also on medical and health-related issues. In particular the content of medical social media data can be diverse due to the background of an author, the source or the topic. Diversity in this context means that a document covers different aspects of a topic or a topic is described in different ways. In this paper, we introduce an approach that allows to consider the diverse aspects of a search query when providing retrieval results to a user.Methods: We introduce a system architecture for a diversity-aware search engine that all

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29

Linares López, Carlos, and Daniel Borrajo. "Adding Diversity to Classical Heuristic Planning." Proceedings of the International Symposium on Combinatorial Search 1, no. 1 (2010): 73–80. http://dx.doi.org/10.1609/socs.v1i1.18171.

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In this paper we propose a new algorithm for solving general two-player turn-taking games that performs symbolic search utilizing binary decision diagrams (BDDs). It consists of two stages: First, it determines all breadth-first search (BFS) layers using forward search and omitting duplicate detection, next, the solving process operates in backward direction only within these BFS layers thereby partitioning all BDDs according to the layers the states reside in. We provide experimental results for selected games and compare to a previous approach. This comparison shows that in most cases the ne

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30

Roberts, Mark, Adele Howe, and Indrajit Ray. "Evaluating Diversity in Classical Planning." Proceedings of the International Conference on Automated Planning and Scheduling 24 (May 11, 2014): 253–61. http://dx.doi.org/10.1609/icaps.v24i1.13649.

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Applications that require alternative plans challenge the single solution, single quality metric assumptions upon which many classical planners are designed and evaluated. To evaluate the distinctness of alternative plans (i.e., plan sets), researchers have created diversity metrics that often measure the set difference between the actions of plans. Many approaches for generating plan sets embed the same diversity metric in a weighted evaluation function to guide the search mechanism, thus confounding the search process with its evaluation. We discover that two diversity metrics fail to distin

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31

Ahn, Shinhye, and Theresa Seung Ah Cho. "Linguistic Framing of Information Disclosure and Analysts’ Evaluation of Innovation Strategy." Korean Academy of Management 33, no. 2 (2025): 1–26. https://doi.org/10.26856/kjom.2025.33.2.1.

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Scholars have been increasingly interested in the dynamics between technology firms’ innovation strategies and financial markets’ responses. However, existing research has offered mixed predictions on how financial analysts react to firms’ technological search diversity. On the one hand, firms’ technological search diversity forms the foundation of economies of scope and synergy among different search domains, leading to financial analysts’ greater earnings predictions. On the other hand, a countervailing mechanism also exists through which technological search diversity increases operational

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32

Casas-Martínez, Pedro, Alejandra Casado-Ceballos, Jesús Sánchez-Oro, and Eduardo G. Pardo. "Multi-Objective GRASP for Maximizing Diversity." Electronics 10, no. 11 (2021): 1232. http://dx.doi.org/10.3390/electronics10111232.

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This work presents a novel greedy randomized adaptive search procedure approach for dealing with the maximum diversity problem from a multi-objective perspective. In particular, five of the most extended diversity metrics were considered, with the aim of maximizing all of them simultaneously. The metrics considered have been proven to be in conflict, i.e., it is not possible to optimize one metric without deteriorating another one. Therefore, this results in a multi-objective optimization problem where a set of efficient solutions that are diverse with respect to all the metrics at the same ti

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33

Llado-Farrulla, Monica, Joshua Fosnot, Javier Couto, et al. "In Search of Workforce Diversity? A Program’s Successful Approach." Plastic & Reconstructive Surgery 147, no. 5 (2021): 1229–33. http://dx.doi.org/10.1097/prs.0000000000007881.

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34

Fuller, Michael M. "In a World of Diversity, a Search for Unity." Ecology 87, no. 10 (2006): 2681–82. http://dx.doi.org/10.1890/0012-9658(2006)87[2681:iawoda]2.0.co;2.

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35

Mckinney, Arlise P., and Jennifer D. Oyler. "In Search of a Diversity Text: A Critical Review." Academy of Management Learning & Education 7, no. 3 (2008): 419–23. http://dx.doi.org/10.5465/amle.2008.37029207.

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36

Levine, James S., and Nelleke Gerritsen. "Russian Reflexive Verbs. In Search of Unity in Diversity." Slavic and East European Journal 37, no. 4 (1993): 564. http://dx.doi.org/10.2307/308462.

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37

Zhou, Yangming, Jin-Kao Hao, and Beatrice Duval. "Opposition-Based Memetic Search for the Maximum Diversity Problem." IEEE Transactions on Evolutionary Computation 21, no. 5 (2017): 731–45. http://dx.doi.org/10.1109/tevc.2017.2674800.

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38

Rogan, José, Max Ramírez, Víctor Muñoz, et al. "Diversity driven unbiased search of minimum energy cluster configurations." Journal of Physics: Condensed Matter 21, no. 8 (2009): 084209. http://dx.doi.org/10.1088/0953-8984/21/8/084209.

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39

Wang, Dan, Congcong Xiong, and Xiankun Zhang. "An Opposition-Based Group Search Optimizer with Diversity Guidance." Mathematical Problems in Engineering 2015 (2015): 1–12. http://dx.doi.org/10.1155/2015/546181.

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Group search optimizer (GSO) which is an effective evolutionary algorithm has been successfully applied in many applications. However, the purely stochastic resampling or selection mechanism in GSO leads to long computing time and premature convergence. In this paper, we propose a diversity-guided group search optimizer (DGSO) with opposition-based learning (OBL) to overcome these limitations. Opposition-based learning is utilized to accelerate the convergence rate of GSO, while the diversity guidance (DG) is used to increase the diversity of population. When compared with the standard GSO, a

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40

Ostermeier, Marc. "Synthetic gene libraries: in search of the optimal diversity." Trends in Biotechnology 21, no. 6 (2003): 244–47. http://dx.doi.org/10.1016/s0167-7799(03)00089-1.

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41

Duarte, Abraham, and Rafael Martí. "Tabu search and GRASP for the maximum diversity problem." European Journal of Operational Research 178, no. 1 (2007): 71–84. http://dx.doi.org/10.1016/j.ejor.2006.01.021.

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42

Bueno, Paulo M. S., Mario Jino, and W. Eric Wong. "Diversity oriented test data generation using metaheuristic search techniques." Information Sciences 259 (February 2014): 490–509. http://dx.doi.org/10.1016/j.ins.2011.01.025.

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43

Aringhieri, R., and R. Cordone. "Comparing local search metaheuristics for the maximum diversity problem." Journal of the Operational Research Society 62, no. 2 (2011): 266–80. http://dx.doi.org/10.1057/jors.2010.104.

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44

Di Santo, James P. "Natural killer cells: diversity in search of a niche." Nature Immunology 9, no. 5 (2008): 473–75. http://dx.doi.org/10.1038/ni.f.201.

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45

Aringhieri, Roberto, Roberto Cordone, and Yari Melzani. "Tabu Search versus GRASP for the maximum diversity problem." 4OR 6, no. 1 (2007): 45–60. http://dx.doi.org/10.1007/s10288-007-0033-9.

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46

Bashir, H. A. "Diversity Control in Evolutionary Computation using Asynchronous Dual-Populations with Search Space Partitioning." Nigerian Journal of Technological Development 17, no. 3 (2020): 175–88. http://dx.doi.org/10.4314/njtd.v17i3.4.

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Diversity control is vital for effective global optimization using evolutionary computation (EC) techniques. This paper classifies the various diversity control policies in the EC literature. Many research works have attributed the high risk of premature convergence to sub-optimal solutions to the poor exploration capabilities resulting from diversity collapse. Also, excessive cost of convergence to optimal solution has been linked to the poor exploitation capabilities necessary to focus the search. To address this exploration-exploitation trade-off, this paper deploys diversity control polici

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47

Suzuki, Osamu. "Search Efforts, Selective Appropriation, and the Usefulness of New Knowledge." International Journal of Knowledge Management 9, no. 1 (2013): 42–59. http://dx.doi.org/10.4018/jkm.2013010103.

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Prior research calls for more attention to organizational contexts’ moderating effects on a relationship between diversity in antecedent knowledge and resultant new knowledge generation. The authors examined 11,939 firms granted 103,952 U.S. patents between 1975 and 1999, and found a stronger positive association between the diversity and resultant new knowledge’s degree of usefulness under the context more strongly characterized with extensive search efforts (i.e., U.S. applicants). Under the context more strongly characterized with selective appropriation (i.e., non-U.S. applicants), the stu

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48

Liu, Zichang, Yongsheng Bai, and Xisheng Jia. "Multi-strategy Improved Sparrow Search Algorithm." Journal of Physics: Conference Series 2549, no. 1 (2023): 012030. http://dx.doi.org/10.1088/1742-6596/2549/1/012030.

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Abstract The multi-strategy improved sparrow search algorithm (MSISSA) is proposed to address the problems that the sparrow search algorithm (SSA) is not rich in population diversity, and is prone to fall into local optimality and poor accuracy in solving multi-dimensional functions. Firstly, Cat mapping is used to initialize the SSA population. Secondly, an elite reverse learning strategy is introduced to increase the population diversity and improve the global search ability of SSA. Then, the number of discoverers and the number of aware-at-risk sparrows are dynamically adjusted by improving

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49

Liu, Xiaobo, Kun Li, and Huizhi Ren. "A Hybrid Algorithm for the Permutation Flowshop Scheduling Problem without Intermediate Buffers." Discrete Dynamics in Nature and Society 2015 (2015): 1–6. http://dx.doi.org/10.1155/2015/548363.

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This paper deals with the permutation flowshop scheduling problem without intermediate buffers and presents a hybrid algorithm based on the scatter search and the variable neighborhood search. In the hybrid algorithm, the solutions with good quality and diversity are maintained by a reference set of scatter search, and the search at each generation starts from a solution generated from the reference set so as to improve the search diversity while guaranteeing the quality of the initial solution. In addition, a variable neighbourhood based on the notion of job-block is developed, and the neighb

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50

Dat, Pham Vu Tuan, Long Doan, and Huynh Thi Thanh Binh. "HSEvo: Elevating Automatic Heuristic Design with Diversity-Driven Harmony Search and Genetic Algorithm Using LLMs." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 25 (2025): 26931–38. https://doi.org/10.1609/aaai.v39i25.34898.

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Automatic Heuristic Design (AHD) is an active research area due to its utility in solving complex search and NP-hard combinatorial optimization problems in the real world. The recent advancements in Large Language Models (LLMs) introduce new possibilities by coupling LLMs with evolutionary computation to automatically generate heuristics, known as LLM-based Evolutionary Program Search (LLM-EPS). While previous LLM-EPS studies obtained great performance on various tasks, there is still a gap in understanding the properties of heuristic search spaces and achieving a balance between exploration a

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