When there are no other practical solutions with superior objective function values, the solution is said to be globally optimal. When there are no other viable alternatives "close by" with superior objective function values, the solution is said to be locally optimal. The goal function and/or constraints may generate this point at the top of a "peak" or at the bottom of a "valley," but there may be a higher peak or a deeper valley far away from the current point.
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Global Journal of Technology and Optimization received 664 citations as per Google Scholar report
