Preparation for Using Optimization Algorithms It is rare that a problem is submitted to an optimization algorithm "as is." By making a few changes in your problem, you can reduce its complexity, that ...

1 Department of Applied Mathematics, Adama Science and Technology University, Adama, Ethiopia; 2 Department of Applied Mathematics, Addis Ababa Science and Technology University, Addis Ababa, Ethiopia ...

Abstract: Although the updating equations of velocities for individuals in the mayfly optimization (MO) algorithm were not the same as that for individuals in the particle swarm optimization (PSO) ...

In this paper, the convergence analysis and the improvement of the chicken swarm optimization (CSO) algorithm are investigated. The stochastic process theory is employed to establish the Markov chain ...

Understand the optimization-relevant issues of your application and its enterprise context. Select the appropriate algorithm and associated aspects (initialization and convergence criterion) for the ...

Where v i, d t + 1 represents the flight speed of i th particle iterations t + 1; XID represents the position of i th particle with iterations t. wrepresents the inertia weight, which is taken here as ...