Abstract
The Annual Crop Planning (ACP) problem was a recently introduced problem in the literature. This study further expounds on this problem by presenting a new mathematical formulation, which is based on market economic factors. To determine solutions, a new local search metaheuristic algorithm is investigated which is called the enhanced Best Performance Algorithm (eBPA). eBPA’s results are compared against two well-known local search metaheuristic algorithms; these include Tabu Search and Simulated Annealing. The results show the potential of the eBPA for continuous optimization problems.
Highlights
At present, the world is facing great challenges of both water scarcity and food supply shortages
The parameter settings of metaheuristic algorithms influence their performance per problem instance
A new mathematical formulation for the Annual Crop Planning (ACP) problem is introduced. It is based on the market economic factors of economy of scale and the demand and supply relations
Summary
The world is facing great challenges of both water scarcity and food supply shortages. Water scarcity is the occurrence when demands on fresh water availability exceed its supply [1]. Greater demands on fresh water supply from all sectors of the industry is experienced. The more fresh water supply consumed by other sectors of the industry, the less will be made available for agricultural consumption. In spite of this present challenge, the agricultural sector—being the most important sector in that it is the primary producer of food globally—is placed under pressure to use fresh water supplies more conservatively [1]
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