{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,5]],"date-time":"2025-12-05T23:36:50Z","timestamp":1764977810435,"version":"3.46.0"},"reference-count":31,"publisher":"Walter de Gruyter GmbH","issue":"4","license":[{"start":{"date-parts":[[2017,8,29]],"date-time":"2017-08-29T00:00:00Z","timestamp":1503964800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,9,25]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>\n                    The multi-reservoir systems optimization problem requires defining a set of rules to recognize the water amount stored and released in accordance with the system constraints. Traditional methods are not suitable for complex multi-reservoir systems with high dimensionality. Recently, metaheuristic-based algorithms such as evolutionary algorithms and local search-based algorithms are successfully used to solve the multi-reservoir systems.\n                    <jats:italic>\u03b2<\/jats:italic>\n                    -hill climbing is a recent metaheuristic local search-based algorithm. In this paper, the multi-reservoir systems optimization problem is tackled using\n                    <jats:italic>\u03b2<\/jats:italic>\n                    -hill climbing. In order to validate the proposed method, four-reservoir systems used in the literature to evaluate the algorithm are utilized. A comparative evaluation is conducted to evaluate the proposed method against other methods found in the literature. The obtained results show the competitiveness of the proposed algorithm.\n                  <\/jats:p>","DOI":"10.1515\/jisys-2017-0159","type":"journal-article","created":{"date-parts":[[2017,8,29]],"date-time":"2017-08-29T06:01:29Z","timestamp":1503986489000},"page":"559-570","source":"Crossref","is-referenced-by-count":14,"title":["Multiple-Reservoir Scheduling Using\n                    <i>\u03b2<\/i>\n                    -Hill Climbing Algorithm"],"prefix":"10.1515","volume":"28","author":[{"given":"Emad","family":"Alsukni","sequence":"first","affiliation":[{"name":"Computer Science Department , Yarmouk University , Irbid , Jordan"}]},{"given":"Omar Suleiman","family":"Arabeyyat","sequence":"additional","affiliation":[{"name":"Computer Engineering Department , Al-Balqa Applied University , Al-Salt , Jordan"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7815-8946","authenticated-orcid":false,"given":"Mohammed A.","family":"Awadallah","sequence":"additional","affiliation":[{"name":"Department of Computer Science , Al-Aqsa University , P.O. Box 4051 , Gaza , Palestine"}]},{"given":"Laaly","family":"Alsamarraie","sequence":"additional","affiliation":[{"name":"Department of Water and Environmental Engineering, Al-Huson University College, Al-Balqa Applied University , Al-Huson, Irbid , Jordan"}]},{"given":"Iyad","family":"Abu-Doush","sequence":"additional","affiliation":[{"name":"Computer Science Department , Yarmouk University , Irbid , Jordan"},{"name":"Computer Science Department , American University of Kuwait , Salmiya , Kuwait"}]},{"given":"Mohammed Azmi","family":"Al-Betar","sequence":"additional","affiliation":[{"name":"Department of Information Technology , Al-Huson University College, Al-Balqa Applied University , Al-Huson, Irbid , Jordan"}]}],"member":"374","published-online":{"date-parts":[[2017,8,29]]},"reference":[{"key":"2025120523324325345_j_jisys-2017-0159_ref_001_w2aab3b7b9b1b6b1ab1b5b1Aa","unstructured":"L. M. Abualigah, A. T. Khader and M. A. Al-Betar, \u03b2-hill climbing technique for the text document clustering, in: New Trends in Information Technology NTIT2017 Conference, pp. 1\u20137, Amman, Jordan, IEEE, 2017."},{"key":"2025120523324325345_j_jisys-2017-0159_ref_002_w2aab3b7b9b1b6b1ab1b5b2Aa","doi-asserted-by":"crossref","unstructured":"L. M. Abualigah, A. T. Khadery, M. A. Al-Betar, Z. A. A. Alyasseri, O. A. Alomari and E. S. Hanandehk, Feature selection with \u03b2-hill climbing search for text clustering application, in: Second Palestinian International Conference on Information and Communication Technology (PICICT 2017), pp. 22\u201327, Gaza, Palestine, IEEE, 2017. doi: 10.1109\/PICICT.2017.30.","DOI":"10.1109\/PICICT.2017.30"},{"key":"2025120523324325345_j_jisys-2017-0159_ref_003_w2aab3b7b9b1b6b1ab1b5b3Aa","doi-asserted-by":"crossref","unstructured":"M. H. Afshar, A cellular automata approach for the hydro-power operation of multi-reservoir systems, J. Proc. ICE Water Manage. 166 (2013), 173\u2013185.","DOI":"10.1680\/wama.11.00105"},{"key":"2025120523324325345_j_jisys-2017-0159_ref_004_w2aab3b7b9b1b6b1ab1b5b4Aa","doi-asserted-by":"crossref","unstructured":"M. Afshar, Extension of the constrained particle swarm optimization algorithm to optimal operation of multi-reservoirs system, Int. J. Elec. Power Energy Syst. 51 (2013), 71\u201381.10.1016\/j.ijepes.2013.02.035","DOI":"10.1016\/j.ijepes.2013.02.035"},{"key":"2025120523324325345_j_jisys-2017-0159_ref_005_w2aab3b7b9b1b6b1ab1b5b5Aa","doi-asserted-by":"crossref","unstructured":"M. Afshar, M. Azizipour, B. Oghbaeea and J. H. Kim, Exploring the efficiency of harmony search algorithm for hydropower operation of multi-reservoir systems: a hybrid cellular automat-harmony search approach, in: International Conference on Harmony Search Algorithm, pp. 252\u2013260, Springer, Bilbao, Spain, 2017.","DOI":"10.1007\/978-981-10-3728-3_25"},{"key":"2025120523324325345_j_jisys-2017-0159_ref_006_w2aab3b7b9b1b6b1ab1b5b6Aa","doi-asserted-by":"crossref","unstructured":"I. Ahmadianfar, A. Adib and M. Salarijazi, Optimizing multireservoir operation: hybrid of bat algorithm and differential evolution, J. Water Res. Plan. Manage. 142 (2015), 05015010-1\u201305015010-10.","DOI":"10.1061\/(ASCE)WR.1943-5452.0000606"},{"key":"2025120523324325345_j_jisys-2017-0159_ref_007_w2aab3b7b9b1b6b1ab1b5b7Aa","doi-asserted-by":"crossref","unstructured":"M. A. Al-Betar, \u03b2-hill climbing: an exploratory local search, Neural Comput. Appl. (2016), 1\u201316. doi: https:\/\/doi.org\/10.1007\/s00521-016-2328-2.","DOI":"10.1007\/s00521-016-2328-2"},{"key":"2025120523324325345_j_jisys-2017-0159_ref_008_w2aab3b7b9b1b6b1ab1b5b8Aa","doi-asserted-by":"crossref","unstructured":"M. A. Al-Betar, M. A. Awadallah, A. L. Bolaji and B. O. Alijla, \u03b2-hill climbing algorithm for sudoku game, in: Second Palestinian International Conference on Information and Communication Technology (PICICT 2017), pp. 84\u201388, Gaza, Palestine, IEEE, 2017. doi: 10.1109\/PICICT.2017.11.","DOI":"10.1109\/PICICT.2017.11"},{"key":"2025120523324325345_j_jisys-2017-0159_ref_009_w2aab3b7b9b1b6b1ab1b5b9Aa","doi-asserted-by":"crossref","unstructured":"H.-R. Asgari, O. Bozorg Haddad, M. Pazoki and H. A. Lo\u00e1iciga, Weed optimization algorithm for optimal reservoir operation, J. Irrig. Drain. Eng. 142 (2015), 04015055.","DOI":"10.1061\/(ASCE)IR.1943-4774.0000963"},{"key":"2025120523324325345_j_jisys-2017-0159_ref_010_w2aab3b7b9b1b6b1ab1b5c10Aa","doi-asserted-by":"crossref","unstructured":"H. M. Azamathulla, F.-C. Wu, A. Ab Ghani, S. M. Narulkar, N. A. Zakaria and C. K. Chang, Comparison between genetic algorithm and linear programming approach for real time operation, J. Hydro-Environ. Res. 2 (2008), 172\u2013181.10.1016\/j.jher.2008.10.001","DOI":"10.1016\/j.jher.2008.10.001"},{"key":"2025120523324325345_j_jisys-2017-0159_ref_011_w2aab3b7b9b1b6b1ab1b5c11Aa","unstructured":"M. T. Barros, J. E. Lopes, S.-L. Yang and W. W.-G. Yeh, Large-scale hydropower system optimization, pp. 263\u2013268, IAHS publication, UK, 2001."},{"key":"2025120523324325345_j_jisys-2017-0159_ref_012_w2aab3b7b9b1b6b1ab1b5c12Aa","doi-asserted-by":"crossref","unstructured":"C. Blum and A. Roli, Metaheuristics in combinatorial optimization: overview and conceptual comparison, ACM Comput. Surv. 35 (2003), 268\u2013308.10.1145\/937503.937505","DOI":"10.1145\/937503.937505"},{"key":"2025120523324325345_j_jisys-2017-0159_ref_013_w2aab3b7b9b1b6b1ab1b5c13Aa","doi-asserted-by":"crossref","unstructured":"O. Bozorg-Haddad, I. Karimirad, S. Seifollahi-Aghmiuni and H. A. Lo\u00e1iciga, Development and application of the bat algorithm for optimizing the operation of reservoir systems, J. Water Res. Plan. Manage. 141 (2014), 04014097.","DOI":"10.1061\/(ASCE)WR.1943-5452.0000498"},{"key":"2025120523324325345_j_jisys-2017-0159_ref_014_w2aab3b7b9b1b6b1ab1b5c14Aa","doi-asserted-by":"crossref","unstructured":"M. \u010crepin\u0161ek, S.-H. Liu and M. Mernik, Exploration and exploitation in evolutionary algorithms: a survey, ACM Comput. Surv. 45 (2013), 1\u201333.","DOI":"10.1145\/2480741.2480752"},{"key":"2025120523324325345_j_jisys-2017-0159_ref_015_w2aab3b7b9b1b6b1ab1b5c15Aa","doi-asserted-by":"crossref","unstructured":"A. dos Santos Teixeira and M. A. Mari\u00f1o, Coupled reservoir operation-irrigation scheduling by dynamic programming, J. Irrig. Drain. Eng. 128 (2002), 63\u201373.10.1061\/(ASCE)0733-9437(2002)128:2(63)","DOI":"10.1061\/(ASCE)0733-9437(2002)128:2(63)"},{"key":"2025120523324325345_j_jisys-2017-0159_ref_016_w2aab3b7b9b1b6b1ab1b5c16Aa","doi-asserted-by":"crossref","unstructured":"Z. W. Geem, Optimal scheduling of multiple dam system using harmony search algorithm, in: International Work-Conference on Artificial Neural Networks, pp. 316\u2013323, Springer, San Sebasti\u00e1n, Spain, 2007.","DOI":"10.1007\/978-3-540-73007-1_39"},{"key":"2025120523324325345_j_jisys-2017-0159_ref_017_w2aab3b7b9b1b6b1ab1b5c17Aa","doi-asserted-by":"crossref","unstructured":"Z. W. Geem, Harmony search for multiple dam scheduling, in: Encyclopedia of artificial intelligence, pp. 803\u2013807, IGI Global, 2009.","DOI":"10.4018\/978-1-59904-849-9.ch119"},{"key":"2025120523324325345_j_jisys-2017-0159_ref_018_w2aab3b7b9b1b6b1ab1b5c18Aa","doi-asserted-by":"crossref","unstructured":"O. B. Haddad, A. Afshar and M. A. Mari\u00f1o, Multireservoir optimisation in discrete and continuous domains, in: Proceedings of the Institution of Civil Engineers-Water Management, Vol. 164, pp. 57\u201372, Thomas Telford Ltd, 2011.10.1680\/wama.900077","DOI":"10.1680\/wama.900077"},{"key":"2025120523324325345_j_jisys-2017-0159_ref_019_w2aab3b7b9b1b6b1ab1b5c19Aa","doi-asserted-by":"crossref","unstructured":"O. B. Haddad, M. Moravej and H. A. Lo\u00e1iciga, Application of the water cycle algorithm to the optimal operation of reservoir systems, J. Irrig. Drain. Eng. 141 (2014), 04014064.","DOI":"10.1061\/(ASCE)IR.1943-4774.0000832"},{"key":"2025120523324325345_j_jisys-2017-0159_ref_020_w2aab3b7b9b1b6b1ab1b5c20Aa","doi-asserted-by":"crossref","unstructured":"O. Hn\u00e7al, A. B. Altan-Sakarya and A. M. Ger, Optimization of multireservoir systems by genetic algorithm, Water Resour. Manag. 25 (2011), 1465\u20131487.10.1007\/s11269-010-9755-0","DOI":"10.1007\/s11269-010-9755-0"},{"key":"2025120523324325345_j_jisys-2017-0159_ref_021_w2aab3b7b9b1b6b1ab1b5c21Aa","unstructured":"M. Jalali, A. Afsharand M. Marino, Multi-reservoir operation by adaptive pheromone re-initiated ant colony optimization algorithm, Int. J. Civil. Eng. 5 (2007), 284\u2013301."},{"key":"2025120523324325345_j_jisys-2017-0159_ref_022_w2aab3b7b9b1b6b1ab1b5c22Aa","unstructured":"I. Kougias and N. Theodossiou, Optimization of multi-reservoir management using harmony search algorithm (HSA), in: Proceedings of 3rd International Conference on Environmental Management, Engineering, Planning and Economics (CEMEPE 2011) & SECOTOX Conference, Skiathos, 2011."},{"key":"2025120523324325345_j_jisys-2017-0159_ref_023_w2aab3b7b9b1b6b1ab1b5c23Aa","doi-asserted-by":"crossref","unstructured":"I. P. Kougias and N. P. Theodossiou, Application of the harmony search optimization algorithm for the solution of the multiple dam system scheduling, Optim. Eng. 14 (2013), 331\u2013344.10.1007\/s11081-011-9183-x","DOI":"10.1007\/s11081-011-9183-x"},{"key":"2025120523324325345_j_jisys-2017-0159_ref_024_w2aab3b7b9b1b6b1ab1b5c24Aa","doi-asserted-by":"crossref","unstructured":"D. N. Kumar and F. Baliarsingh, Folded dynamic programming for optimal operation of multireservoir system, Water Resour. Manag.17 (2003), 337\u2013353.10.1023\/A:1025894500491","DOI":"10.1023\/A:1025894500491"},{"key":"2025120523324325345_j_jisys-2017-0159_ref_025_w2aab3b7b9b1b6b1ab1b5c25Aa","doi-asserted-by":"crossref","unstructured":"D. N. Kumar and M. J. Reddy, Multipurpose reservoir operation using particle swarm optimization, J. Water Res. Plan. Manage. 133 (2007), 192\u2013201.10.1061\/(ASCE)0733-9496(2007)133:3(192)","DOI":"10.1061\/(ASCE)0733-9496(2007)133:3(192)"},{"key":"2025120523324325345_j_jisys-2017-0159_ref_026_w2aab3b7b9b1b6b1ab1b5c26Aa","doi-asserted-by":"crossref","unstructured":"R. Moeini and M. Afshar, Extension of the constrained ant colony optimization algorithms for the optimal operation of multi-reservoir systems, J. Hydroinform. 15 (2013), 155\u2013173.10.2166\/hydro.2012.081","DOI":"10.2166\/hydro.2012.081"},{"key":"2025120523324325345_j_jisys-2017-0159_ref_027_w2aab3b7b9b1b6b1ab1b5c27Aa","doi-asserted-by":"crossref","unstructured":"C.-S. Peng and N. Buras, Dynamic operation of a surface water resources system, Water Resour. Res. 36 (2000), 2701\u20132709.10.1029\/2000WR900169","DOI":"10.1029\/2000WR900169"},{"key":"2025120523324325345_j_jisys-2017-0159_ref_028_w2aab3b7b9b1b6b1ab1b5c28Aa","doi-asserted-by":"crossref","unstructured":"J. Tospornsampan, I. Kita, M. Ishii and Y. Kitamura, Optimization of a multiple reservoir system using a simulated annealing\u2013a case study in the mae klong system, thailand, Paddy Water Environ.3 (2005), 137\u2013147.10.1007\/s10333-005-0010-x","DOI":"10.1007\/s10333-005-0010-x"},{"key":"2025120523324325345_j_jisys-2017-0159_ref_029_w2aab3b7b9b1b6b1ab1b5c29Aa","doi-asserted-by":"crossref","unstructured":"J. Wang, X. Yuan and Y. Zhang, Short-term scheduling of large-scale hydropower systems for energy maximization, J. Water Res. Plan. Manage. 130 (2004), 198\u2013205.10.1061\/(ASCE)0733-9496(2004)130:3(198)","DOI":"10.1061\/(ASCE)0733-9496(2004)130:3(198)"},{"key":"2025120523324325345_j_jisys-2017-0159_ref_030_w2aab3b7b9b1b6b1ab1b5c30Aa","doi-asserted-by":"crossref","unstructured":"R. Wardlaw and M. Sharif, Evaluation of genetic algorithms for optimal reservoir system operation, J. Water Res. Plan. Manage. 125 (1999), 25\u201333.10.1061\/(ASCE)0733-9496(1999)125:1(25)","DOI":"10.1061\/(ASCE)0733-9496(1999)125:1(25)"},{"key":"2025120523324325345_j_jisys-2017-0159_ref_031_w2aab3b7b9b1b6b1ab1b5c31Aa","doi-asserted-by":"crossref","unstructured":"Q. Zhong and K. E. Lansey, Optimal multireservoir hydropower operations by decomposition, Eng. Optimiz. 19 (1992), 131\u2013151.10.1080\/03052159208941225","DOI":"10.1080\/03052159208941225"}],"container-title":["Journal of Intelligent Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/www.degruyter.com\/view\/j\/jisys.2019.28.issue-4\/jisys-2017-0159\/jisys-2017-0159.xml","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.degruyterbrill.com\/document\/doi\/10.1515\/jisys-2017-0159\/xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.degruyterbrill.com\/document\/doi\/10.1515\/jisys-2017-0159\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,5]],"date-time":"2025-12-05T23:32:50Z","timestamp":1764977570000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.degruyterbrill.com\/document\/doi\/10.1515\/jisys-2017-0159\/html"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,8,29]]},"references-count":31,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2017,8,29]]},"published-print":{"date-parts":[[2019,9,25]]}},"alternative-id":["10.1515\/jisys-2017-0159"],"URL":"https:\/\/doi.org\/10.1515\/jisys-2017-0159","relation":{},"ISSN":["2191-026X","0334-1860"],"issn-type":[{"type":"electronic","value":"2191-026X"},{"type":"print","value":"0334-1860"}],"subject":[],"published":{"date-parts":[[2017,8,29]]}}}