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This study introduces modified cuckoo search (MCS) algorithms for multiobjective optimization in antenna array synthesis. The MCSPSOSPEA variant shows superior performance in enhancing antenna directivity and suppressing side lobes.

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Area of Science:

  • Electromagnetics and Antenna Theory
  • Computational Intelligence
  • Optimization Algorithms

Background:

  • Antenna array geometry synthesis is crucial for achieving desired radiation patterns.
  • Multiobjective optimization techniques are needed to balance competing design goals.
  • Existing metaheuristic algorithms may require enhancements for complex optimization problems.

Purpose of the Study:

  • To propose modified cuckoo search (MCS) algorithms for multiobjective optimization in rectangular array synthesis.
  • To enhance the MCS algorithm with adaptive inertia weight and dynamic discovery rate.
  • To hybridize MCS with other optimization techniques like Particle Swarm Optimization (PSO) and Hill Climbing (HC) alongside Strength Pareto Evolutionary Algorithm (SPEA).

Main Methods:

  • Development of various Modified Cuckoo Search (MCS) algorithm versions.
  • Hybridization of MCS with SPEA, PSO, and HC to form MCSPSOSPEA and MCSHCSPEA.
  • Application of proposed algorithms to Zitzler-Deb-Thiele's (ZDT's) test functions for multiobjective optimization.
  • Generation of Pareto optimum trade-offs for array element locations, excitation amplitudes, and phases.

Main Results:

  • The proposed MCSPSOSPEA algorithm demonstrated superior performance compared to other tested algorithms.
  • Achieved simultaneous improvements in antenna directivity, half-power beamwidth (HPBW), side lobe level (SLL) suppression, and nulls mitigation.
  • Effectiveness of Roulette wheel selection, adaptive inertia weight, and dynamic discovery rate in MCS was validated.

Conclusions:

  • The MCSPSOSPEA algorithm is a highly effective tool for multiobjective antenna array geometry synthesis.
  • The proposed modifications significantly enhance the performance of the cuckoo search algorithm for complex optimization tasks.
  • This research provides a robust framework for designing advanced antenna arrays with optimized performance characteristics.