Search Results - subject:"multi‐objective optimization"

An algorithm for the capacitated vehicle routing problem with route balancing

Borgulya, István - In: Central European Journal of Operations Research 16 (2008) 4, pp. 331-343

Persistent link: https://www.econbiz.de/10008515747

Optimal Groundwater Remediation Under Uncertainty Using Multi-objective Optimization

Mantoglou, Aristotelis; Kourakos, George - In: Water Resources Management 21 (2007) 5, pp. 835-847

A methodology is developed for optimal remediation of groundwater aquifers under hydraulic conductivity uncertainty. A multi-objective management method based on a pump-and-treat remediation technology, is proposed. The pumping rates and well locations are the decision variables and two...

Persistent link: https://www.econbiz.de/10010794714

Neighbourhood Search for constructing Pareto sets

Dorini, G.; Pierro, F.; Savic, D.; Piunovskiy, A. - In: Computational Statistics 65 (2007) 2, pp. 315-337

This paper describes theNeighbourhood Search, an effectivemethod that we suggest for constructing Pareto sets in multiple objective problems with conegenerated orders. TheNeighbourhood Search is then applied to discounted Markov Decision Processes, resulting in original statements about...

Persistent link: https://www.econbiz.de/10010848013

Neighbourhood Search for constructing Pareto sets

Dorini, G.; Pierro, F.; Savic, D.; Piunovskiy, A. - In: Mathematical Methods of Operations Research 65 (2007) 2, pp. 315-337

Persistent link: https://www.econbiz.de/10010950383

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