Advances on Computational Intelligence in Energy : the Applications of Nature-Inspired Metaheuristic Algorithms in Energy

Addressing the applications of computational intelligence algorithms in energy, this book presents a systematic procedure that illustrates the practical steps required for applying bio-inspired, meta-heuristic algorithms in energy, such as the prediction of oil consumption and other energy products. Contributions include research findings, projects, surveying work and industrial experiences that describe significant advances in the applications of computational intelligence algorithms in energy. For easy understanding, the text provides practical simulation results, convergence and learning curves as well as illustrations and tables. Providing a valuable resource for undergraduate and postgraduate students alike, it is also intended for researchers in the fields of computational intelligence and energy. Front Matter ....Pages i-xiv A Theoretical Framework for Big Data Analytics Based on Computational Intelligent Algorithms with the Potential to Reduce Energy Consumption (Haruna Chiroma, Usman Ali Abdullahi, Ibrahim Abaker Targio Hashem, Younes Saadi, Rawaa Dawoud Al-Dabbagh, Muhammad Murtala Ahmad et al.)....Pages 1-20 Artificial Bee Colony for Minimizing the Energy Consumption in Mobile Ad Hoc Network (Mustafa Tareq, Saad Adnan Abed, Elankovan A. Sundararajan)....Pages 21-38 A Novel Chicken Swarm Neural Network Model for Crude Oil Price Prediction (Abdullah Khan, Rahmat Shah, Junaid Bukhari, Nasreen Akhter, Attaullah, Muhammad Idrees et al.)....Pages 39-58 Forecasting OPEC Electricity Generation Based on Elman Network Trained by Cuckoo Search Algorithm (Abdullah Khan, Rahmat Shah, Nasreen Akhter, Awais Qureshi, Kamran Ullah, Hilal Ahmad et al.)....Pages 59-76 Variable Neighborhood Search-Based Symbiotic Organisms Search Algorithm for Energy-Efficient Scheduling of Virtual Machine in Cloud Data Center (Mohammed Abdullahi, Shafi’i Muhammad Abdulhamid, Salihu Idi Dishing, Mohammed Joda Usman)....Pages 77-97 Energy Savings in Heterogeneous Networks with Self-Organizing Backhauling (Nasir Faruk, Abdulkarim A. Oloyede, Abubakar Abdulkarim, Lukman A. Olawoyin, Yinusa A. Adediran)....Pages 99-124 Integrated Resource Allocation Model for Cloud and Fog Computing: Toward Energy-Efficient Infrastructure as a Service (IaaS) (Mohammed Joda Usman, Abdul Samad Ismail, Hassan Chizari, Abdulsalam Ya’u Gital, Haruna Chiroma, Mohammed Abdullahi et al.)....Pages 125-145 Energy-Efficient Bias-Based User Association for Heterogeneous Networks in LTE-Advanced (Ayuba K. Danburam, Mohammed A. Gadam, Aliyu D. Usman, Suleiman M. Sani)....Pages 147-168 Energy Efficiency of Backhauling Options for Future Heterogeneous Networks (Nasir Faruk, Abubakar Abdulkarim, Nazmat T. Surajudeen-Bakinde, Segun I. Popoola)....Pages 169-194 Analysis of Energy Consumption Model in Cloud Computing Environments (Zhou Zhou, Jemal H. Abawajy, Fangmin Li)....Pages 195-215