Optimisation Method

Optimization methods are crucial for finding the best solutions across diverse fields, aiming to maximize efficiency or balance competing objectives like fairness and speed. Current research focuses on adapting established algorithms, such as evolutionary algorithms, gradient descent, Markov Decision Processes, and simulated annealing, to complex problems in areas including autonomous systems, resource allocation, and even food production. These advancements are improving performance in applications ranging from ride-sharing services to autonomous racing and industrial processes, highlighting the broad impact of refined optimization techniques.