A hybrid firefly and particle swarm optimization algorithm for computationally expensive numerical problems

Author:

Aydilek İbrahim BerkanORCID

Publisher

Elsevier BV

Subject

Software

Reference64 articles.

1. Evaluation Criteria for CEC 2015 Special Session and Competition on Bound Constrained Single-Objective Computationally Expensive Numerical Optimization, Singapore;Chen,2015

2. Improved SRPSO algorithm for solving CEC 2015 computationally expensive numerical optimization problems;Tanweer;2015 IEEE Congr. Evol. Comput. CEC 2015 – Proc.,2015

3. MVMO for bound constrained single-objective computationally expensive numerical optimization;Rueda;2015 IEEE Congr. Evol. Comput. CEC 2015 – Proc.,2015

4. A cooperative particle swarm optimizer with stochastic movements for computationally expensive numerical optimization problems;Ngo;J. Comput. Sci.,2016

5. Nature-Inspired algorithms: state-of-art, problems and prospects;Agarwal;Int. J. Comput. Appl.,2014

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