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Optimization of network planning by the novel hybrid algorithms of intelligent optimization techniques

Sadegheih, A. - In: Energy 34 (2009) 10, pp. 1539-1551

This paper proposes a new hybrid algorithm Meta-heuristic for the problem of network planning systems. The main goal of this paper is, to develop an efficient optimization tool which will minimise the cost functions of the stated optimization problems in network planning systems. The following...

Persistent link: https://www.econbiz.de/10010807868

Construct, merge, solve & adapt a new general algorithm for combinatorial optimization

Blum, Christian; Pinachio, Pedro; López-Ibáñez, Manuel; … - In: Computers & operations research : and their … 68 (2016), pp. 75-88

Persistent link: https://www.econbiz.de/10011442373

A hybrid collaborative algorithm to solve an integrated wood transportation and paper pulp production problem

Pecora, Jose Eduardo; Ruiz, Angel; Soriano, Patrick - In: Journal of the Operational Research Society : OR 67 (2016) 4, pp. 537-550

Persistent link: https://www.econbiz.de/10011516561

A genetic algorithm based on relaxation induced neighborhood search in a local branching framework for capacitated multicommodity network design

Momeni, Mohsen; Sarmadi, Mohammadreza - In: Networks and spatial economics : a journal of … 16 (2016) 2, pp. 447-468

Persistent link: https://www.econbiz.de/10011658053

Designing time-of-use tariffs in electricity retail markets using a bi-level model : estimating bounds when the lower level problem cannot be exactly solved

Soares, Inês; Alves, Maria João; Henggeler Antunes, Carlos - In: Omega : the international journal of management science 93 (2020), pp. 1-12

Persistent link: https://www.econbiz.de/10012243797

Cardinality constrained portfolio optimization with a hybrid scheme combining a Genetic Algorithm and Sonar Inspired Optimization

Konstantinou, Christos; Tzanetos, Alexandros; Dounias, … - In: Operational research : an international journal 22 (2022) 3, pp. 2465-2487

Persistent link: https://www.econbiz.de/10013443653