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Constraint satisfaction in a resource allocation problem optimized using evolutionary algorithms

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I am working on a allocation problem where a resource R needs to be allocated to n users each with demand . The problem has two objectives: objective 1 - maximize user utility given by and objective 2 - minimize , a loss funcstion associated with a user for providing his the resource. Here is the allocation to user and and are constants. The problem has two constraints (allocaton is demand) and (sum of all allocations equals total available resource). Overall, I need to maximize aggregate system utility () and minimize aggregate loss (). I am using evolutionary algorithm for this problem. But, after the evolution is complete, the algorithm leaves unallocated resoruce while there is still unmet user demand. I am curious if it is a expected outcome or it is due to some algorithmic or implementation flaw. I would appreciate any guidace.

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