Synthesis of unequally spaced linear antenna array for subsidiary maxima elimination using LGChOA algorithm

The chimp optimisation algorithm (ChOA) draws inspiration from the individual intellect of chimps during their collective hunting, setting them apart from other social predators. Despite its potential, ChOA often encounters premature convergence to local optima during the search phase, limiting its effectiveness in balancing exploitation and exploration and remains susceptible to stagnation. In this research, an enhanced modified version of ChOA is proposed, integrating Lévy flight and greedy selection procedures to address these shortcomings. The efficacy of the proposed algorithm is evaluated in the context of antenna array synthesis. Linear antenna arrays find extensive use in wireless communication applications, yet achieving the dual objectives of suppressing subsidiary maxima while maintaining sufficient spacing and side lobes poses a significant challenge. The proposed approach is evaluated across various linear array communication requirements, and the results are compared with those obtained using other well-known strategies.