An Extended Artificial Neural Network Assisted Hybrid Harris Hawks and Whale Optimizer to Find Optimal Solution for Engineering Design Problems
Someet Singh1, Anuj Jain2, Sunil Kumar Mahla3

1Someet Singh, School of Electronics and Electrical Engineering, Lovely Professional University, Punjab, India.
2Anuj Jain, School of Electronics and Electrical Engineering, Lovely Professional University, Punjab, India.
3Sunil Kumar Mahla, Department of Mechanical Engineering, IKJPTU, Punjab, India.
Manuscript received on March 12, 2020. | Revised Manuscript received on March 26, 2020. | Manuscript published on March 30, 2020. | PP: 4843-4855 | Volume-8 Issue-6, March 2020. | Retrieval Number: F8189038620/2020©BEIESP | DOI: 10.35940/ijrte.F8189.038620

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Abstract: The algorithms that have been developed recently have decorous behavior to solve and find optimum solution to various optimization problems in search space. Withal such calculations stuck in issues nearby quest space for compelled engineering problems. In succession to achieve an optimal solution a hybrid algorithmic approach is proffered. Artificial Neural Network (ANN) is considered as better solution for the known outputs. A hybrid variant of applying ANN on Harris Hawks and Whale Optimization Algorithm (ANNHHOWOA) is proposed to achieve effective solution for engineering problems. The effectiveness of proposed algorithm is tested for various non-linear, non-convex and standard engineering problems and to approve consequences of proposed algorithm standard benchmarks and multidisciplinary design problems have been considered. The validation endorsed that the results shown by ANNHHOWOA showed much better results than individual ANN, HHO and WOA and its effectiveness on multidisciplinary engineering problems.
Keywords: Meta-Heuristic Algorithms, Artificial Neural Network.
Scope of the Article: Artificial Intelligence.