NSGA-II variants for solving a social-conscious dual resource-constrained scheduling problem.
Muhammad AkbarTakashi IroharaPublished in: Expert Syst. Appl. (2020)
Keyphrases
- resource constrained
- nsga ii
- scheduling problem
- multi objective
- test problems
- evolutionary algorithm
- multi objective optimization
- pareto optimal
- multiobjective optimization
- resource constraints
- multiobjective evolutionary algorithm
- optimization problems
- tabu search
- wireless sensor networks
- sensor networks
- evolutionary multiobjective
- evolutionary multiobjective optimization
- multi objective differential evolution
- knapsack problem
- np hard
- multi objective evolutionary algorithms
- optimization algorithm
- genetic algorithm
- constrained multi objective optimization problems
- differential evolution
- multi objective optimization problems
- optimal solution
- bi objective
- pareto optimal solutions
- resource constrained project scheduling problem
- benchmark problems
- embedded systems
- multipath
- genetic programming
- job shop scheduling problem
- real time
- fitness function
- evolutionary computation
- qualitative and quantitative
- branch and bound algorithm
- combinatorial optimization
- particle swarm optimization
- neural network
- data sets