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The goal of harnessing our biodiversity to bring health and wealth to the people living in the Caribbean Region got a boost recently courtesy of a 2016 IUCN project entitled ‘Advancing the Nagoya Protocol in Countries of the Caribbean Region’ that had five components. This project was commissioned by eight governments (Antigua and Barbuda, Barbados, Grenada, Guyana, Jamaica, Saint Kitts and Nevis, Saint Lucia, Trinidad and Tobago) with GEF funding, had UNEP as its Implementing Agency and the International Union for the Conservation of Nature (IUCN) as the Executing Agency.
A major challenge facing farmers in Portland, Jamaica is dry weather, especially during the optimal growing season from April through August. During this five-month period Portland suffered from severe dry spells during the years 2014, 2015, 2018 and 2020. A second challenge is the damage to crops and land as well as loss of livestock due to tropical storms or hurricanes and the associated flooding. Portland farmers have suffered losses due to an active hurricane season numerous times and most recently in the years 2004, 2005, 2012 and 2020.
In parallel and distributed computing environments, task scheduling, where the basic idea is minimizing time loss and maximizing performance, is an absolutely critical component. Scheduling in these environments is NP-hard, so it is important that we continue to search and find the most efficient and effective ways of mapping tasks to processors. One such effective approach is known as Ant Colony Optimization (ACO). This popular optimization technique is inspired by the foraging behavior of ants in their colonies to find the shortest paths between their nests and food sources.
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