Artificial Neural Networks Driven Data-Based Optimization Analysis to Locate Crisis Reaction Offices for Marine Transportation in Antalya

Year 2021, , 126 - 139, 31.12.2021

Emre Demir , Caner Akar

https://doi.org/10.24107/ijeas.1031068

Abstract

A mishap might happen at any port along Antalya’s 500-kilometer shorelines, and the counter spillage group ought to be on schedule for an intercession. The aim of this study is to decide the most appropriate areas for the counter spillage group office for Antalya’s tourist ports. For this reason, Tree Seeds Algorithm (TSA), Symbiotic Organisms Search (SOS), Sooty Terns Optimization Algorithm (STOA), and Weiszfeld Algorithm (WA) optimization methods are used to track down the most advantageous area. The first three procedures are almost new and forward-thinking methods. Notwithstanding, the last one is a notable calculation for taking care of organization-based enhancement issues. This research aims to accomplish an ideal area and evaluate the exhibitions of TSA, SOS, STOA, and WA. Hence, this article offers a crisis reaction office area for oil leakage safety brought about by marine mishaps in Antalya Gulf. The originality and the main contribution of the paper to the literature is as follows: 1) for the first time, the presentations of the four optimization algorithms are analyzed and inspected together, 2) the most appropriate locations for the counter spillage group office for Antalya’s ports are determined for first time in the literature.

Keywords

Transportation optimization, marine mishaps, location analysis, Antalya

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