Optimization of energy systems based on Evolutionary and Social metaphors

Energy

Volumn 33, Issue 2, 2008, Pages 171-179

  Dimopoulos, George G ^a   Frangopoulos, Christos A ^a  

^a NATIONAL TECHNICAL UNIVERSITY OF ATHENS   (Greece)

Author keywords

Energy systems; Evolutionary programming; Particle swarm optimization

Indexed keywords

CONSTRAINT THEORY; EVOLUTIONARY ALGORITHMS; OPTIMIZATION; PROBLEM SOLVING;

ENERGY SYSTEMS; PARTICLE SWARM OPTIMIZATION;

ENERGY MANAGEMENT;

CONSTRAINT THEORY; ENERGY MANAGEMENT; EVOLUTIONARY ALGORITHMS; OPTIMIZATION; PROBLEM SOLVING;

ACCURACY ASSESSMENT; ENGINEERING; GENETIC ALGORITHM; METHODOLOGY; OPTIMIZATION;

EID: 38149119010     PISSN: 03605442     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.energy.2007.09.002     Document Type: Article

References (15)

1. Goldberg DE. Genetic algorithms in search, optimization, and machine learning, Report, with corr. ed. Reading, MA: Addison-Wesley Pub. Co, 1989.
2. Kennedy J., Shi Y., and Eberhart R.C. Swarm intelligence (2001), Morgan Kaufmann, San Francisco, CA
3. Grueninger T, Wallace D. Multi-modal optimization using genetic algorithms. MIT CADlab-Technical Report 96.02. Cambridge, MA: Massachusetts Institute of Technology; 1996.
4. Senin N, Wallace D, Borland N, Jakiela M. A framework for mixed parametric and catalog-based design problem modeling and optimization, MIT CADlab-Technical Report 97.02. Cambridge, MA: Massachusetts Institute of Technology, 1997.
5. Olsommer B. Time-dependent thermoeconomic modeling and optimization of the synthesis, design and operation of a waste incineration cogeneration power plant (Méthode d'optimisation thermoéconomique appliquée aux centrales d'incinération d'ordures à cogénération avec appoint énergétique). PhD thesis, Lausanne, LENI, EPFL, 1998 (in French).
6. Pelster S. Environomic modeling and optimization of advanced combined cycle cogeneration power plants including CO2 separation options. PhD thesis, Lausanne, LENI-DGM, EPFL, 1998.
7. Shi Y, Eberhart RC. A modified particle swarm optimizer. In: Proceedings of the IEEE international conference on evolutionary computation, 1998. p. 69-73.
8. Fourie P.C., and Groenwold A.A. The particle swarm optimization algorithm in size and shape optimization. Structural and multidisciplinary optimization. J Int Soc Struc Multidisciplinary Optim 23 4 (2002) 257-269
9. Eberhart RC, Shi Y. Comparison between genetic algorithms and particle swarm optimization. Lecture notes in computer science. vol 1447, Berlin: Springer; 1998. p. 611.
10. Angeline PJ. Evolutionary optimization versus particle swarm optimization: philosophy and performance differences. Lecture notes in computer science. vol. 1447, Berlin: Springer; 1998 p. 601.
11. Dimopoulos G.G. Mixed-variable engineering optimization based on evolutionary and social metaphors. Comput Methods Appl Mech Eng 196 4-6 (2007) 803-817
12. Valero A., Lozano M.A., Serra L., Tsatsaronis G., Pisa J., Frangopoulos C.A., et al. CGAM problem: definition and conventional solution. Energy 19 3 (1994) 279-286
13. Toffolo A., and Lazzaretto A. Evolutionary algorithms for multi-objective energetic and economic optimization in thermal system design. Energy 27 6 (2002) 549-567
14. Frangopoulos C.A., and Dimopoulos G.G. Effect of gas-properties evaluation method on the optimum point of gas turbine cycles. Int J Thermodyn 8 2 (2004) 95-102
15. Dimopoulos GG, Kougioufas AV, Frangopoulos CA. Synthesis, design and operation optimization of a marine energy system. Energy 2006, this issue, doi:10.1016/j.energy.2007.09.004.