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In the technological development era, the solution to various complex problems is uncertain, and more attention should be paid for changing certain conditions. Therefore, a precise solution to a complex problem is critical. The traveling salesman problem (TSP) is often fuse for an outbreak of a better solution. Inspired by the successful genetic algorithm (GA) applications, this study proposes a new approach to improve the convergence rate by incorporating a unique feature, namely 'sub-tour division'. The new method consists of multiple zones of TSPs (i.e., active and inactive), which are used to sort and group the critical region for finding the solutions. To illustrate the performance of the new approach, the traveling distance between various cities in India is considered as a problem. The simulation findings show that the new approach provides a more accurate and robust solution to a complex problem than alternative methods. [ABSTRACT FROM AUTHOR]

With the increasing hazard to the environment and progressions in renewable energy technologies, hybrid renewable energy systems can meet the energy demand. Total dependability can be attained by adding battery banks to hybrid systems. This paper aims to optimally design a multi-source grid isolated hybrid generation system for future smart cities in the state of Tamil Nadu, India. This off-grid power generation consists of wind turbine generators, photovoltaic panels, inverters, diesel generators, and batteries. The design intents at minimizing Net Present Cost, Unmet Load, and CO2 emissions which are conventionally contradictory to each other. This paper analyzes the optimal off-grid combination of components and control strategies, utilizing improved Hybrid Optimization using the Genetic Algorithm. The results obtained portrays that a mix of hybrid renewable energy generators at off-grid locations without diesel generators can be a cost-effective choice of new smart cities, and it is sustainable, environmentally viable, and techno-economically feasible. Subvention is imperative to take on the large-scale system due to the high capital cost. [ABSTRACT FROM AUTHOR]