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- W3182023909 abstract "In this research a novel meta-heuristic algorithm called ATLBO is suggested for power systems optimization. This algorithm is applied to the combined heat and power system. company's costs are minimized considering the constraints on consumer energy supply, gas-fired unit and the heat recovery system via this novel algorithm. The mentioned system is optimized by genetic algorithm(GA), teaching-learning-based optimization (TLBO), water cycle algorithm (WCA), particle swarm optimization (PSO) and a new advanced teaching-learning-based optimization algorithm (ATLBO). The results of the ATLBO are compared with these mentioned algorithms in order to illustrate the effectiveness of the novel algorithm. Employing this improved method leads to an improvement in convergence speed for the distributed combined heat and power (CHP) system. The codes are provided in Matlab software." @default.
- W3182023909 created "2021-07-19" @default.
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- W3182023909 date "2021-05-17" @default.
- W3182023909 modified "2023-09-23" @default.
- W3182023909 title "Optimization of an Industrial Township Costs from an Industrial Service Company View (Case Study: A Distributed Gas-Fired CHP)" @default.
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- W3182023909 doi "https://doi.org/10.1109/iwec52400.2021.9467008" @default.
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