This paper proposes a hybrid approach using fuzzy logic and genetic algorithms to solve the economic load dispatch (ELD) problem. The ELD problem aims to minimize generation costs while meeting load demands and generator constraints. The proposed method combines fuzzy logic and genetic algorithms to adaptively adjust crossover and mutation rates during optimization. Testing on 3-generator and 10-generator systems shows the hybrid approach finds more accurate and economically optimal solutions faster than genetic algorithms or traditional lambda iteration methods. The hybrid approach proves effective for solving the ELD problem in power systems.