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In this paper, we propose a general dynamic epsilon non-domination sorting procedure to replace the exhaustive search approach used in the literature to tune the numerical values of the epsilon parameter of each objective in a multiobjective optimization problem (MOP). We integrate this approach into an MOPSO (Dyn-ε -MOPSO). Comparative evaluations using several multi-objectives test problems...
In this paper, the nonlinear constrained multi-objective environmental economic dispatch (EED) problem is solved using fast multi-objective evolutionary programming (FMOEP). Due to the global warming by fossil fuel, environmental concern becomes more and more important in recent years. The purpose of multi-objective optimization algorithm is minimizing all the different objectives simultaneously and...
In this paper, the dynamic multi-swarm particle swarm optimizer (DMS-PSO) and a sub-regional harmony search (SHS) are hybridized to obtain DMS-PSO-SHS. A Modified multi-trajectory search (MTS) algorithm is also applied frequently on several selected solutions. Effective diversity maintaining properties of the dynamic multiple swarms in the DMS-PSO without crossover operation and strong exploitative...
Monopulse antennas form an important methodology of realizing tracking radar and they are based on the simultaneous comparison of sum and difference signals to compute the angle-error and to steer the antenna patterns in the direction of the target (i.e., the boresight direction). In this study, we consider the synthesis problem of difference patterns in monopulse antennas from the perspective of...
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