A genetic algorithm allocation model that jointly optimizes task completion probability, task reward, and analyst preference outperforms baseline heuristics on simulated financial-services scenarios.
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Optimising task allocation to balance business goals and worker well-being for financial service workforces
A genetic algorithm allocation model that jointly optimizes task completion probability, task reward, and analyst preference outperforms baseline heuristics on simulated financial-services scenarios.