Search Results - subject:"multi‐objective optimization"

Design and multi-objective optimization of heat exchangers for refrigerators

Gholap, A.K.; Khan, J.A. - In: Applied Energy 84 (2007) 12, pp. 1226-1239

with the focus on forced-air heat-exchangers. A multi-objective optimization procedure is implemented to find optimal …

Persistent link: https://www.econbiz.de/10008918876

Multi-objective optimization of an advanced combined cycle power plant including CO2 separation options

Li, Hongtao; Maréchal, François; Burer, Meinrad; … - In: Energy 31 (2006) 15, pp. 3117-3134

This paper illustrates a methodology developed to facilitate the analysis of complex systems characterized by a large number of technical, economical and environmental parameters. Thermo-economic modeling of a natural gas combined cycle including CO2 separation options has been coupled within a...

Persistent link: https://www.econbiz.de/10010807364

Optimal Reservoir Operation Using Multi-Objective Evolutionary Algorithm

Reddy, M.; Kumar, D. - In: Water Resources Management 20 (2006) 6, pp. 861-878

multipurpose reservoir system. One of the main goals in multi-objective optimization is to find a set of well distributed optimal … drawbacks faced by the classical methods for Multi-objective Optimization Problems (MOOP), this study employs a population based … out of them. This study demonstrates the usefulness of MOGA for a real life multi-objective optimization problem …

Persistent link: https://www.econbiz.de/10010794330

Construction scheduling using multi-constraint and genetic algorithms approach

Dawood, Nashwan; Sriprasert, Eknarin - In: Construction Management and Economics 24 (2006) 1, pp. 19-30

Reliable construction schedules are important for effective co-ordination across the supply chain and various trades at the construction work face. Reliability of construction schedules can be enhanced and improved through satisfying all potential constraints prior to execution on site....

Persistent link: https://www.econbiz.de/10005268992

Sensitivity of internal combustion generator capacity in standalone hybrid energy systems

Perera, A.T.D.; Wickremasinghe, D.M.I.J.; … - In: Energy 39 (2012) 1, pp. 403-411

was done for three different system configurations based on the renewable energy source. Both mono and multi objective … optimization was carried out using Evolutionary Algorithm considering Levelized Energy Cost (LEC) and unmet load fraction as …

Persistent link: https://www.econbiz.de/10010810510

Maximizing upgrading and downgrading margins for ordinal regression

Carrizosa, Emilio; Martin-Barragan, Belen - In: Computational Statistics 74 (2011) 3, pp. 381-407

In ordinal regression, a score function and threshold values are sought to classify a set of objects into a set of ranked classes. Classifying an individual in a class with higher (respectively lower) rank than its actual rank is called an upgrading (respectively downgrading) error. Since...

Persistent link: https://www.econbiz.de/10010759603

Maximizing upgrading and downgrading margins for ordinal regression

Carrizosa, Emilio; Martin-Barragan, Belen - In: Mathematical Methods of Operations Research 74 (2011) 3, pp. 381-407

Persistent link: https://www.econbiz.de/10010950393

H∞ controller design for a distillation column using genetic algorithms

Kitsios, I.; Pimenides, T. - In: Mathematics and Computers in Simulation (MATCOM) 60 (2002) 3, pp. 357-367

In the conventional H∞ optimal output feedback control design, the order of the controller is higher than that of the plant. Thus, it is not easy to implement H∞ optimal control in real world engineering problems. This paper tries to bridge the gap between the theoretical H∞ control and...

Persistent link: https://www.econbiz.de/10011050381

Pareto-optimality approach for flexible job-shop scheduling problems: hybridization of evolutionary algorithms and fuzzy logic

Kacem, Imed; Hammadi, Slim; Borne, Pierre - In: Mathematics and Computers in Simulation (MATCOM) 60 (2002) 3, pp. 245-276

the adaptive capabilities of EAs. The integration of these two methodologies for the multi-objective optimization has …

Persistent link: https://www.econbiz.de/10010749196