Decomposition-based 2-echelon multi-objective evolutionary algorithm with energy-efficient local search strategies for shop floor multi-crane scheduling problems.
Binghai ZhouXiu-mei LiaoPublished in: Neural Comput. Appl. (2020)
Keyphrases
- search strategies
- energy efficient
- shop floor
- scheduling problem
- multi objective evolutionary algorithms
- wireless sensor networks
- manufacturing systems
- search strategy
- energy consumption
- sensor networks
- evolutionary algorithm
- multi objective
- energy efficiency
- supply chain management
- base station
- search algorithm
- supply chain
- search methods
- retrieval effectiveness
- dynamically changing
- multi objective optimization
- constraint programming
- nsga ii
- multistage
- real time
- fitness function
- np hard
- routing algorithm
- control architecture
- routing protocol
- heuristic search
- artificial intelligence
- sensor nodes
- metaheuristic
- dynamic programming
- control system
- search space
- data structure
- machine learning
- data mining