Combinatorial optimization problems are broadly studied in the literature. On the one hand, their challenging … routing problems constitute a well-known class of combinatorial optimization problems, from which the Traveling Salesman … inspired by biological phenomena are being successfully applied to solve optimization tasks, mainly combinatorial optimization …

to CH or from CH to BS. Reducing the transmission distance is a NP-Hard problem. So, optimization techniques can be used … effectively to solve such problems. In this article, is the implementation of a social group optimization (SGO) to reduce the …

Multi-objective optimization is becoming important day by day due to increase in complexity of the processes and …

work for different optimization parameters like Path Length, Energy and Number of Turns. The proposed algorithm is compared …

Glowworm Swarm Optimization (GSO) is one of the common swarm intelligence algorithms, where GSO has the ability to … GSO optimization process. The authors argue that GSO can be formulated based on the MapReduce parallel programming model …

, the city group optimization algorithm is presented, which is based on urbanology and mimics the evolution of city groups …. The robustness and evolutionary process of the proposed city group optimization algorithm are validated by testing it on …

authors assessed the proposal in ten benchmark optimization problems to evaluate the performance. The results show that the … proposed version outperformed in most cases the FSS versions for mono-modal optimization. …