This book presents a cutting-edge research procedure in the Nature-Inspired Computing NIC domain and its connections with computational intelligence areas in real-world engineering applications. It introduces readers to a broad range of algorithms, such as genetic algorithms, particle swarm optimization, the firefly algorithm, flower pollination algorithm, collision-based optimization algorithm, bat algorithm, ant colony optimization, and multi-agent systems. In turn, it provides an overview of meta-heuristic algorithms, comparing the advantages and disadvantages of each.
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Title: On the Design of a Novel Fractal Antenna for Spectrum Sensing in Cognitive Radio Abstract: The present paper reports on the development of a novel compact fractal microstrip patch antenna for spectrum sensing in cognitive radio. The geometrical design of the proposed fractal antenna is optimized using nature inspired Moth Flame Optimization MFO method. The optimized antenna is having broadband characteristic within two bands 6. The proposed fractal antenna is also having high peak gain of 7.