Qi Zhou1,2, Jinghua Li1,3, Ruipu Dong1,*, Qinghua Zhou3,*, Boxin Yang3
CMES-Computer Modeling in Engineering & Sciences, Vol.134, No.2, pp. 1263-1281, 2023, DOI:10.32604/cmes.2022.020744
- 31 August 2022
Abstract Offshore engineering construction projects are large and complex, having the characteristics of multiple execution
modes and multiple resource constraints. Their complex internal scheduling processes can be regarded as resourceconstrained project scheduling problems (RCPSPs). To solve RCPSP problems in offshore engineering construction
more rapidly, a hybrid genetic algorithm was established. To solve the defects of genetic algorithms, which easily fall
into the local optimal solution, a local search operation was added to a genetic algorithm to defend the offspring
after crossover/mutation. Then, an elitist strategy and adaptive operators were adopted to protect the generated
optimal solutions, More >
Login
Register
