An improved firefly algorithm for solving dynamic multidimensional knapsack problems

Author:

Baykasoğlu Adil,Ozsoydan Fehmi Burcin

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference65 articles.

1. Abshouri, A., Meybodi, M., & Bakhtiary, A. (2011). New firefly algorithm based on multi swarm & learning automata in dynamic environments. In IEEE proceedings (pp. 73–77).

2. Baykasoğlu, A., & Durmuşoğlu, Z. D. U. (2011). Dynamic optimization in a dynamic and unpredictable world. In 2011 Proceedings of PICMET ‘11: Technology management in the energy-smart world (PICMET), July 31–August 4, 2011 (pp. 2312–2319). Portland, OR, USA: Hilton Portland and Executive Tower.

3. A classification scheme for agent based approaches to dynamic optimization;Baykasoğlu;Artificial Intelligence Review,2013

4. Bosman, P. A. N. (2005). Learning, anticipation and time-deception in evolutionary online dynamic optimization. In Proceedings of the 2005 workshops on genetic and evolutionary computation (pp. 39–47).

5. Bosman, P. A. N., & Poutrè, H. L. (2007). Learning and anticipation in online dynamic optimization with evolutionary algorithms: The stochastic case. In Proceedings of the 2007 genetic and evolutionary computation conference (pp. 1165–1172).

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