{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T14:44:05Z","timestamp":1781102645849,"version":"3.54.1"},"reference-count":0,"publisher":"IGI Global Scientific Publishing","issue":"1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016,1,1]]},"abstract":"<p>The project portfolio scheduling problem has become very popular in recent years since many modern organizations operate in multi-project and multi-objective environment. Current project oriented organizations have to design a plan in order to execute a set of projects sharing common resources such as personnel teams. This problem can be seen as an extension of the job shop scheduling problem; the multi-purpose job shop scheduling problem. In this paper, the authors propose a hybrid approach to deal with a bi-objective optimisation problem; Makespan and Total Weighted Tardiness. The approach consists of three phases; in the first phase they utilise a Genetic Algorithm (GA) to generate a set of initial solutions, which are used as inputs to recurrent neural networks (RNNs) in the second phase. In the third phase the authors apply adaptive learning rate and a Tabu Search like algorithm with the view to improve the solutions returned by the RNNs. The proposed hybrid approach is evaluated on some well-known benchmarks and the experimental results are very promising.<\/p>","DOI":"10.4018\/ijmstr.2016010104","type":"journal-article","created":{"date-parts":[[2016,6,27]],"date-time":"2016-06-27T11:46:30Z","timestamp":1467027990000},"page":"42-61","source":"Crossref","is-referenced-by-count":1,"title":["Phased Method for Solving Multi-Objective MPM Job Shop Scheduling Problem"],"prefix":"10.4018","volume":"4","author":[{"given":"Dimitrios C","family":"Tselios","sequence":"first","affiliation":[{"name":"TEI of Thessaly, Larissa, Greece"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ilias K.","family":"Savvas","sequence":"additional","affiliation":[{"name":"TEI of Thessaly, Larissa, Greece"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"M-Tahar","family":"Kechadi","sequence":"additional","affiliation":[{"name":"University College Dublin, Dublin, Ireland"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","container-title":["International Journal of Monitoring and Surveillance Technologies Research"],"original-title":[],"language":"ng","link":[{"URL":"https:\/\/www.igi-global.com\/viewtitle.aspx?TitleId=158004","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T20:15:02Z","timestamp":1654114502000},"score":1,"resource":{"primary":{"URL":"https:\/\/services.igi-global.com\/resolvedoi\/resolve.aspx?doi=10.4018\/IJMSTR.2016010104"}},"subtitle":[""],"short-title":[],"issued":{"date-parts":[[2016,1,1]]},"references-count":0,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2016,1]]}},"URL":"https:\/\/doi.org\/10.4018\/ijmstr.2016010104","relation":{},"ISSN":["2166-7241","2166-725X"],"issn-type":[{"value":"2166-7241","type":"print"},{"value":"2166-725X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,1,1]]}}}