Studies and papers have been distinguished, and the following information was obtained and aggregated from each article: authors, publication’s year, the journal name or the conference name, proposed algorithms, the aim of the study, the outcome, and the quality of each study. For this purpose, we implemented a broad, automated search using Boolean and snowballing searching methods to find academic works on path planning in UAVs. This review aims to assort academic studies on the path planning optimization in UAV using meta-heuristic algorithms, summarize the results of each optimization algorithm, and extend the understanding of the current state of the path planning in UAV in the meta-heuristic optimization field. As a result, UAV path planning is concerned with determining the optimal path from the source to the destination while avoiding collisions with lowering the cost of time, energy, and other resources. Military, disaster management, rescue operations, public services, agriculture, and various other areas are examples. Unmanned aerial vehicles (UAVs) have recently been increasingly popular in various areas, fields, and applications. The directory can be instrumental in the data-driven analysis of unsustainable illegal wildlife trade, supply chain structure via link prediction models, the value of demand and supply reduction initiatives via multi-item knapsack problems, or trafficking behavior and transportation choices via network inter-diction problems. The open-access data directory is designed to be a living document and searchable according to multiple measures. Keyword searches, expert elicitation, and peer-reviewed publications were used to search for extant sources used by industry and non-profit organizations, as well as those leveraged to publish academic research articles. We describe a novel, open-access data directory on wildlife trafficking and a corresponding visualization tool that can be used to identify data for multiple purposes, such as exploring wildlife trafficking hotspots and convergence points with other crime, discovering key drivers or deterrents of wildlife trafficking, and uncovering structural patterns. Scientific exploration of wildlife trafficking trends and the impact of interventions is significantly encumbered by a suite of data reuse challenges. Wildlife trafficking is a global phenomenon posing many negative impacts on socio-environmental systems. Hence, Boolean search strings are very useful for information retrieval. The technique was evaluated based on three (3) criteria: Number of documents retrieved, the time taken to retrieve them and the relevance of the documents to the query or research question.The analysis of this technique shows that Boolean search strings technique returns more relevant articles compared to the free text query by at least 77% and in shorter time frame. Searching engines such as google, google scholar and online bibliography sources such as IEEE Xplore, ACM and Science Direct were used to implement the technique. In this paper, the technique of Boolean search string is explored in details along with the analysis/evaluation of the effectiveness of the technique. However, with little automated help for the free text search query. Search engines and on-line bibliography resource sites are conventionally used to find the relevant literatures using key word search. The relevant literatures should be searched from multiple sources. The review of available literature is a foundation requirement for most research projects.
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