Multi-objective Bonobo optimizer with grid-index approach

This is the Matlab code for a multi-objective bonobo optimizer (MOBO) with a grid-index approach. It is named as MOBO1.
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Updated Thu, 10 Mar 2022 00:12:05 +0000

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This is the matlab code for multi-objective bonobo optimizer (MOBO) with grid-index approach. Three versions of MOBO were developed,
such as MOBO with grid-index approach (MOBO1), MOBO with non-dominated sorting and crowding distance approach (MOBO2) and MOBO with decomposition technique (MOBO3).
Among these three versions, MOBO2 approach was found to have better performances compared to other two approaches, in general.
This is written for solving unconstrained optimization problems.
However, it can also solve constrained optimization problems with constraint handling approaches.
User should write his/her own objective function and modify accordingly.
Modify the common parameters and algorithm-specific parameters as per the needs of the problem.
For details of the MOBO algorithms, kindly refer and cite as mentioned below:
Das, A.K., Nikum, A.K., Krishnan, S.V. et al. Multi-objective Bonobo Optimizer (MOBO): an intelligent heuristic for multi-criteria optimization.
Knowl Inf Syst (2020). https://doi.org/10.1007/s10115-020-01503-x
For any query, please email to: amit.besus@gmail.com

Cite As

Das, A.K., Nikum, A.K., Krishnan, S.V. et al. Multi-objective Bonobo Optimizer (MOBO): an intelligent heuristic for multi-criteria optimization. Knowl Inf Syst (2020). https://doi.org/10.1007/s10115-020-01503-x

MATLAB Release Compatibility
Created with R2020a
Compatible with any release
Platform Compatibility
Windows macOS Linux

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Version Published Release Notes
1.0.1

Minor changes in descriptions

1.0.0