MUMBAI: Every time an order arrives at your doorstep in 10 minutes, an algorithm has already decided someone’s livelihood. It decides which rider gets the order, how much that rider earns and how long ...

Abstract: Solving constrained multi-objective optimization problems (CMOPs) is a challenging task due to the presence of multiple conflicting objectives and intricate constraints. In order to better ...

Abstract: Real-world optimization problems often have multi-ple conflicting objective functions to be optimized simultaneously. In some of them, there are different Pareto optimal solutions with the ...