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The Differentiated Creative search (DCS): Leveraging Differentiated knowledge-acquisition and Creative realism to address complex optimization problems Available at https://doi.org/10.1016/j.eswa.2024.123734

Duankhan, P., Sunat, K., Chiewchanwattana, S., & Nasa-ngium, P. (2024). The Differentiated Creative Search (DCS): Leveraging Differentiated knowledge-acquisition and Creative realism to address complex optimization problems. Expert Systems with Applications, 123734. https://doi.org/10.1016/j.eswa.2024.123734

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DOI Duankhan, P., Sunat, K., Chiewchanwattana, S., & Nasa-ngium, P. (2024). Supplementary code for: The Differentiated Creative Search (DCS): Leveraging Differentiated Knowledge-acquisition and Creative Realism to Address Complex Optimization Problems (2.0.0). Zenodo. https://doi.org/10.5281/zenodo.10842416

Open in Code Ocean Duankhan, P., Sunat, K., Chiewchanwattana, S., & Nasa-ngium, P. (2024). The Differentiated Creative Search (DCS): Leveraging Differentiated Knowledge-acquisition and Creative Realism to Address Complex Optimization Problems [Source Code]. https://doi.org/10.24433/CO.0136585.v2

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Note: To rerun the experiment, please extract the CEC 2017 input_data zip file into the local folder.

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Copyright (c) 2024 Poomin

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

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This work introduces Differentiated Creative Search (DCS), a groundbreaking optimization algorithm that revolutionizes traditional decision-making systems in complex environments.

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