{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,2]],"date-time":"2025-11-02T10:34:40Z","timestamp":1762079680750,"version":"build-2065373602"},"reference-count":31,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2019,2,18]],"date-time":"2019-02-18T00:00:00Z","timestamp":1550448000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"the National Nature Science Foundation of China","award":["No. 61773123"],"award-info":[{"award-number":["No. 61773123"]}]},{"name":"the Humane and Social Science Fund Project of the Education Ministry","award":["No. 14YJC630056"],"award-info":[{"award-number":["No. 14YJC630056"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Algorithms"],"abstract":"<jats:p>The study of emergency decision making (EDM) is helpful to reduce the difficulty of decision making and improve the efficiency of decision makers (DMs). The purpose of this paper is to propose an innovative genetic algorithm for emergency decision making under resource constraints. Firstly, this paper analyzes the emergency situation under resource constraints, and then, according to the prospect theory (PT), we further propose an improved value measurement function and an emergency loss levels weighting algorithm. Secondly, we assign weights for all emergency locations using the best\u2013worst method (BWM). Then, an improved genetic algorithm (GA) based on prospect theory (PT) is established to solve the problem of emergency resource allocation between multiple emergency locations under resource constraints. Finally, the analyses of example show that the algorithm can shorten the decision-making time and provide a better decision scheme, which has certain practical significance.<\/jats:p>","DOI":"10.3390\/a12020043","type":"journal-article","created":{"date-parts":[[2019,2,19]],"date-time":"2019-02-19T04:08:20Z","timestamp":1550549300000},"page":"43","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["An Improved Genetic Algorithm for Emergency Decision Making under Resource Constraints Based on Prospect Theory"],"prefix":"10.3390","volume":"12","author":[{"given":"Leiwen","family":"Chen","sequence":"first","affiliation":[{"name":"School of Economics &amp; Management, Fuzhou University, Fuzhou 350116, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yingming","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Economics &amp; Management, Fuzhou University, Fuzhou 350116, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Geng","family":"Guo","sequence":"additional","affiliation":[{"name":"School of Economics &amp; Management, Fuzhou University, Fuzhou 350116, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2019,2,18]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"439","DOI":"10.1016\/j.cie.2018.04.001","article-title":"Algorithms for interval-valued fuzzy soft sets in emergency decision making based on WDBA and CODAS with new information measure","volume":"119","author":"Peng","year":"2018","journal-title":"Comput. 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