This paper proposes a hybrid optimization method that combines the power of the harmony search (HS) with the mine blast algorithm (MBA). The resulting mineblast harmony search (MBHS) uses MBA for exploration and HS f...
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This paper proposes a hybrid optimization method that combines the power of the harmony search (HS) with the mine blast algorithm (MBA). The resulting mineblast harmony search (MBHS) uses MBA for exploration and HS for exploitation. The HS is inspired by the improvisation process of musicians, while the MBA is derived based on explosion of landmines. The HS used in the hybrid algorithm is an improved version, introducing a new concept for the harmony memory size, while the MBA is modified in terms of its mathematical formulation. Several numerical problems and benchmarks with many design variables and constraints are used to validate MBHS, and the optimization results are compared with those from various algorithms in the literature. The numerical results show that the proposed hybrid method provides better exploitation ability (especially in the final iterations) and enjoys mature convergence to the optimum solution. (C) 2018 Elsevier B.V. All rights reserved.
This study investigates the frequency control of an isolated hybrid power system (HPS) in the presence of parabolic-trough solar thermal power system (STPS), wind generator, diesel engine generator and battery energy ...
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This study investigates the frequency control of an isolated hybrid power system (HPS) in the presence of parabolic-trough solar thermal power system (STPS), wind generator, diesel engine generator and battery energy storage system to ensure the system reliability. Dynamic performance of the HPS has been analysed considering the degree of penetration of solar thermal power. The inclusion of parabolic-trough-based STPS in such study is a maiden work. For coordinated control of the whole system and to damp out the oscillations occurring due to the disturbances, proportional-integral (PI) and PI-derivative controllers are incorporated whose gain parameters are simultaneously optimised by genetic algorithm, particle swarm optimisation, and mine blast algorithm (MBA). MBA-based control strategy in such a hybrid system has been reported for the first time. The dynamic response analysis with different algorithms figured out that the parameters of controllers tuned by MBA provide a significant improvement in the performance of HPS.
This paper presents the applications of the mine blast algorithm (MBA) and the water cycle algorithm (WCA), in addition to an improved version of MBA for weight minimization of truss structures including discrete sizi...
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This paper presents the applications of the mine blast algorithm (MBA) and the water cycle algorithm (WCA), in addition to an improved version of MBA for weight minimization of truss structures including discrete sizing variables. The MBA mimics the explosion of landmines, while the WCA is inspired by the observation of water cycle process. An improved version of MBA (IMBA), is also presented. The efficiency of the three optimization algorithms is tested using classical benchmark discrete truss design problems. Optimization results show that MBA, IMBA, and WCA offer a good degree of competitiveness against other state-of-the-art metaheuristic techniques. (C) 2014 Elsevier Ltd. All rights reserved.
A hybrid optimization method that combines the power of the harmony search (HS) algorithm with the mine blast algorithm (MBA) is presented in this study. The resulting mineblast harmony search (MBHS) utilizes the MBA...
详细信息
ISBN:
(纸本)9783662479261;9783662479254
A hybrid optimization method that combines the power of the harmony search (HS) algorithm with the mine blast algorithm (MBA) is presented in this study. The resulting mineblast harmony search (MBHS) utilizes the MBA for exploration and the HS for exploitation. The HS is inspired by the improvisation process of musicians, while the MBA is derived based on explosion of landmines. The HS used in the proposed hybrid method is an improved version, introducing a new concept for the harmony memory (HM) (i.e., dynamic HM), while the MBA is modified in terms of its mathematical formulation. Several benchmarks with many design variables are used to validate the MBHS, and the optimization results are compared with other algorithms. The obtained optimization results show that the proposed hybrid algorithm provides better exploitation ability (particularly in final iterations) and enjoys fast convergence to the optimum solution.
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