On spanning-tree recombination in evolutionary large-scale network problems - Application to electrical distribution planning

IEEE Transactions on Evolutionary Computation

Volumn 5, Issue 6, 2001, Pages 623-630

  Carvalho, P M S ^a   Ferreira, L A F M ^a   Barruncho, L M F ^b  

^a INSTITUTO SUPERIOR TÉCNICO   (Portugal)

^b EDINFOR   (Portugal)

Author keywords

Electric power distribution; Evolutionary computation; Network planning; Recombination; Topology constraints

Indexed keywords

COMPUTATIONAL METHODS; COMPUTER SOFTWARE; CONSTRAINT THEORY; ELECTRIC NETWORK TOPOLOGY; ELECTRIC POWER DISTRIBUTION; EVOLUTIONARY ALGORITHMS; TREES (MATHEMATICS);

EVOLUTIONARY COMPUTATIONS;

SOFTWARE ENGINEERING;

EID: 0035691285     PISSN: 1089778X     EISSN: None     Source Type: Journal    
DOI: 10.1109/4235.974844     Document Type: Article

References (22)

1. Optimal planning of power networks using mixed-integer programming part 1 - Static and time-phased network synthesis
2. A branch-and-bound model for choosing optimal substation locations
3. A branch-and-bound formulation to an electricity distribution planning problem
4. Computer-aided planning of distribution substation and primary feeders
5. Application of benders decomposition technique to the distribution planning problem
6. Multi-year expansion planning for distribution systems
7. New dynamic, branch exchange method for optimal distribution system planning
8. PC applications for dynamic planning of network investments
9. APR: A geographic information system based primary router for underground residential distribution design
10. Dynamic planning of distribution networks for minimum regret strategies
11. Optimal distribution network expansion planning under uncertainty by evolutionary decision convergence
12. Implementation of genetic algorithm for distribution systems loss minimum re-configuration
13. Distribution planning toll optimizes design
14. Local search genetic algorithm for optimal design of reliable networks
15. Evolutionary design algorithm for optimal layout of tree solutions
16. Evolutionary computation: Comments on the history and current state
17. Genetic algorithms, noise and the sizing of populations
18. A comparative analysis of selection schemes used in genetic algorithms