{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,8]],"date-time":"2026-01-08T20:01:41Z","timestamp":1767902501748,"version":"3.49.0"},"reference-count":43,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2024,4,28]],"date-time":"2024-04-28T00:00:00Z","timestamp":1714262400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Algorithms"],"abstract":"<jats:p>The present research work introduces a novel mixture optimization methodology for biodiesel fuels using an Evolutionary Computation method inspired by biological evolution. Specifically, the optimal biodiesel composition is deduced from the application of a nature-inspired adaptive genetic algorithm that first examines percentages of the ingredients in the optimal mixtures. The innovative approach\u2019s effectiveness lies in problem simulation with improvements in the evaluation of the specific function and the way to define and tune the genetic algorithm. Environmental imperatives in the era of climate change currently impose the optimized production of alternative environmentally friendly biofuels to replace fossil fuels. Biodiesel in particular, appears to be more attractive in recent years, as it originates from renewable bio-derived resources. The main ingredients of the specific biofuel mixture investigated in this research are diesel and biodiesel (100% from bioresources). The assessment of the new biodiesel examined was performed using a fitness function that estimated both the density and cost of the fuel. Beyond the evaluation criterion of cost, density also influences the suitability of this biofuel for commercial use and market sale. The outcomes from the modeling process can be beneficial in saving cost and time for new biodiesel production by using this novel decision-making tool in comparison with randomized laboratory experimentations.<\/jats:p>","DOI":"10.3390\/a17050181","type":"journal-article","created":{"date-parts":[[2024,4,29]],"date-time":"2024-04-29T06:13:22Z","timestamp":1714371202000},"page":"181","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Application of Evolutionary Computation to the Optimization of Biodiesel Mixtures Using a Nature-Inspired Adaptive Genetic Algorithm"],"prefix":"10.3390","volume":"17","author":[{"given":"Vasileios","family":"Vasileiadis","sequence":"first","affiliation":[{"name":"Department of Chemical Engineering, University of Western Macedonia (UOWM), GR-50100 Kozani, Greece"}]},{"given":"Christos","family":"Kyriklidis","sequence":"additional","affiliation":[{"name":"Department of Chemical Engineering, University of Western Macedonia (UOWM), GR-50100 Kozani, Greece"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7713-597X","authenticated-orcid":false,"given":"Vayos","family":"Karayannis","sequence":"additional","affiliation":[{"name":"Department of Chemical Engineering, University of Western Macedonia (UOWM), GR-50100 Kozani, Greece"}]},{"given":"Constantinos","family":"Tsanaktsidis","sequence":"additional","affiliation":[{"name":"Department of Chemical Engineering, University of Western Macedonia (UOWM), GR-50100 Kozani, Greece"}]}],"member":"1968","published-online":{"date-parts":[[2024,4,28]]},"reference":[{"key":"ref_1","unstructured":"Enerdata (2022). World Energy & Climate Statistics\u2014Yearbook 2022, Enerdata."},{"key":"ref_2","first-page":"37","article-title":"Scaling-up sustainable chlorella vulgaris microalgal biomass cultivation from laboratory to pilot-plant photobioreactor, towards biofuel","volume":"21","author":"Papapolymerou","year":"2019","journal-title":"Glob. Nest J."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Pokushko, M., Stupina, A., Medina-Bulo, I., Ezhemanskaya, S., Kuzmich, R., and Pokushko, R. (2023). Algorithm for Application of a Basic Model for the Data Envelopment Analysis Method in Technical Systems. Algorithms, 16.","DOI":"10.3390\/a16100460"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"138251","DOI":"10.1016\/j.jclepro.2023.138251","article-title":"Multi-scenario analysis on hydrogen production development using PESTEL and FCM models","volume":"419","author":"Kokkinos","year":"2023","journal-title":"J. Clean. Prod."},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Vasiliadou, I.A., Semizoglou, Z.A., Karayannis, V.G., and Tsanaktsidis, C.G. (2024). Extraction Study of Lignite Coalbed Methane as a Potential Supplement to Natural Gas for Enhancing Energy Security of Western Macedonia Region in Greece. Appl. Sci., 14.","DOI":"10.3390\/app14010174"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"2151","DOI":"10.1016\/j.biortech.2010.10.080","article-title":"Biodiesel production using heterogeneous catalysts","volume":"102","author":"Semwal","year":"2011","journal-title":"Bioresour. Technol."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"194","DOI":"10.1016\/j.fuel.2012.04.009","article-title":"Biodiesel production based on heterogeneous process catalyzed by solid waste coral fragment","volume":"98","author":"Roschat","year":"2012","journal-title":"Fuel"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"229","DOI":"10.1016\/j.fuel.2011.08.029","article-title":"An experimental investigation of biodiesel synthesis from waste canola oil using supercritical methanol","volume":"91","author":"Lee","year":"2012","journal-title":"Fuel"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/S0960-8524(99)00025-5","article-title":"Biodiesel production: A review","volume":"70","author":"Ma","year":"1999","journal-title":"Bioresour. Technol."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1007\/s00253-003-1537-7","article-title":"Principles of biorefineries","volume":"64","author":"Kamm","year":"2004","journal-title":"Appl. Microbiol. Biotechnol."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Tyson, K.S., Bozell, J., Wallace, R., Petersen, E., and Moens, L. (2004). Biomass oil analysis: Research needs and recommendations. NREL\/Tech. Rep.","DOI":"10.2172\/15009676"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"936","DOI":"10.1016\/j.compchemeng.2011.01.034","article-title":"On maximizing biodiesel mixing ratio based on final product specifications","volume":"35","author":"Bezergianni","year":"2011","journal-title":"Comput. Chem. Eng."},{"key":"ref_13","unstructured":"Gerpen, J.V., Shanks, B., Pruszko, R., Clements, D., and Knothe, G. (2004). Biodiesel Production Technology NREL\/SR-510-36244."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"1815","DOI":"10.1016\/j.apenergy.2010.01.012","article-title":"Progress in biodiesel processing","volume":"87","author":"Balat","year":"2010","journal-title":"Appl. Energy"},{"key":"ref_15","first-page":"936","article-title":"An integrated reactive distillation process for biodiesel production","volume":"35","year":"2016","journal-title":"Comput. Chem. Eng."},{"key":"ref_16","unstructured":"Burton, R. (2008). Alternative Fuels Consortium, Central Carolina Community College."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"473","DOI":"10.1111\/j.1469-8137.2008.02422.x","article-title":"Sustainable liquid biofuels from biomass: The writing\u2019s on the walls","volume":"178","author":"Gomez","year":"2008","journal-title":"New Phytol."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Ramos, M., Dias, A.P.S., Puna, J.F., Gomes, J., and Bordado, J.C. (2019). Review on biodiesel production processes and sustainable raw materials. Energies, 12.","DOI":"10.3390\/en12234408"},{"key":"ref_19","first-page":"261","article-title":"Land use changes from EU biofuel use: A sensitivity analysis","volume":"14","author":"Kavallari","year":"2014","journal-title":"Oper. Res."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"2623","DOI":"10.1016\/j.renene.2008.02.020","article-title":"Determination of the density and the viscosities of biodiesel\u2013diesel fuel blends","volume":"33","author":"Alptekin","year":"2008","journal-title":"Renew. Energy"},{"key":"ref_21","first-page":"42","article-title":"Application of factor analysis for the study of physicochemical properties in different blends of diesel fuel with biodiesel","volume":"3","author":"Tsanaktsidis","year":"2013","journal-title":"Int. J. Soft Comput. Eng."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"198","DOI":"10.1016\/j.cjche.2020.09.065","article-title":"Densities and excess molar volumes of mixtures containing diesel, biodiesel and alkanols at temperatures from 288.15 to 313.15 K","volume":"34","author":"Malik","year":"2021","journal-title":"Chin. J. Chem. Eng."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"012048","DOI":"10.1088\/1755-1315\/40\/1\/012048","article-title":"Relation between quality and production cost for pure biodiesel bases on the mixes of raw materials","volume":"40","author":"Tsanaktsidis","year":"2016","journal-title":"IOP Conf. Ser. Earth Environ. Sci."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"118978","DOI":"10.1016\/j.fuel.2020.118978","article-title":"Defining a waste vegetable oil-biodiesel based diesel substitute blend fuel by response surface optimization of density and calorific value","volume":"283","author":"Deya","year":"2021","journal-title":"Fuel"},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Valdez, F., Castillo, O., and Melin, P. (2021). Bio-inspired algorithms and its applications for optimization in fuzzy clustering. Algorithms, 14.","DOI":"10.20944\/preprints202103.0282.v1"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"173","DOI":"10.3233\/ICA-150508","article-title":"Evolutionary computation for resource leveling optimization in project management","volume":"Volume 23","author":"Kyriklidis","year":"2016","journal-title":"Integrated Computer-Aided Engineering"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"210","DOI":"10.1147\/rd.33.0210","article-title":"Some studies in machine learning using the game of checkers","volume":"3","author":"Samuel","year":"1959","journal-title":"IBM J. Res. Dev."},{"key":"ref_28","unstructured":"Hirsch, M. (2010). Artificial Intelligence\u2014A Modern Approach, Pearson Education Inc.. [3rd ed.]."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"2154258","DOI":"10.1155\/2021\/2154258","article-title":"A Review on Machine Learning Application in Biodiesel Production Studies","volume":"2021","author":"Xing","year":"2021","journal-title":"Int. J. Chem. Eng."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"373","DOI":"10.1016\/S1364-0321(01)00006-5","article-title":"Artificial neural networks in renewable energy systems applications: A review","volume":"5","author":"Kalogirou","year":"2001","journal-title":"Renew. Sustain. Energy Rev."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"1753","DOI":"10.1016\/j.rser.2010.12.008","article-title":"Optimization methods applied to renewable and sustainable energy: A review","volume":"15","author":"Montoya","year":"2011","journal-title":"Renew. Sustain. Energy Rev."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"774","DOI":"10.1111\/gcbb.12816","article-title":"Applications of artificial intelligence-based modeling for bioenergy systems: A review","volume":"13","author":"Liao","year":"2021","journal-title":"GCB Bioenergy"},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Kokkinos, K., and Karayannis, V. (2020). Supportiveness of low-carbon energy technology policy using fuzzy multicriteria decision-making methodologies. Mathematics, 8.","DOI":"10.3390\/math8071178"},{"key":"ref_34","first-page":"2537","article-title":"Optimal reactive power dispatch using water wave optimization algorithm","volume":"20","author":"Zhou","year":"2020","journal-title":"Oper. Res."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"5915","DOI":"10.1016\/j.eswa.2015.03.023","article-title":"Artificial Intelligence techniques applied as estimator in chemical process systems-a literature survey","volume":"42","author":"Hussain","year":"2015","journal-title":"Expert. Syst. Appl."},{"key":"ref_36","first-page":"1869","article-title":"Application of LSSVM for biodiesel production using supercritical ethanol solvent","volume":"39","author":"Liu","year":"2017","journal-title":"Energy Sources Part A Recovery Util. Environ. Eff."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"562","DOI":"10.1002\/ep.12698","article-title":"Biodiesel Conversion Modeling under Several Conditions Using Computational Intelligence Methods","volume":"37","author":"Mohadesi","year":"2018","journal-title":"Environ. Prog. Sustain. Energy"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"622210","DOI":"10.3389\/fenrg.2020.622210","article-title":"Optimizing Microalgal Biomass Feedstock Selection for Nanocatalytic Conversion Into Biofuel Clean Energy, Using Fuzzy Multi-Criteria Decision Making Processes","volume":"8","author":"Kokkinos","year":"2021","journal-title":"Front. Energy Res."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"66","DOI":"10.1038\/scientificamerican0792-66","article-title":"Genetic Algorithms","volume":"267","author":"Holland","year":"1992","journal-title":"Sci. Am."},{"key":"ref_40","doi-asserted-by":"crossref","unstructured":"Fuladi, S.K., and Kim, C.-S. (2024). Dynamic Events in the Flexible Job-Shop Scheduling Problem: Rescheduling with a Hybrid Metaheuristic Algorithm. Algorithms, 17.","DOI":"10.3390\/a17040142"},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"124232","DOI":"10.1016\/j.fuel.2022.124232","article-title":"Optimal Bio Marine Fuel production evolutionary Computation: Genetic algorithm approach for raw materials mixtures","volume":"323","author":"Kyriklidis","year":"2022","journal-title":"Fuel"},{"key":"ref_42","unstructured":"(2024, February 01). Food and Agriculture Organization of the United Nations (FAOSTAT). Available online: https:\/\/www.fao.org\/faostat\/en\/#data\/PP."},{"key":"ref_43","unstructured":"(2024, February 01). Hellenic Statistical Authority, Greece (HSA). Available online: https:\/\/www.statistics.gr\/."}],"container-title":["Algorithms"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1999-4893\/17\/5\/181\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T14:35:07Z","timestamp":1760106907000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1999-4893\/17\/5\/181"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,4,28]]},"references-count":43,"journal-issue":{"issue":"5","published-online":{"date-parts":[[2024,5]]}},"alternative-id":["a17050181"],"URL":"https:\/\/doi.org\/10.3390\/a17050181","relation":{},"ISSN":["1999-4893"],"issn-type":[{"value":"1999-4893","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,4,28]]}}}