This paper proposes a new individual based optimization algorithm, which is inspired from
asexual reproduction known as a remarkable biological phenomenon, called as Asexual …

Optimization is a powerful technique for obtaining the best possible solution of various
engineering design and planning problems. Over the last two to three decades, several …

The flower pollination algorithm (FPA) is a relatively new natural bio-inspired optimization
algorithm that mimics the real-life processes of the flower pollination. Indeed, this algorithm …

This paper discusses the different types of population-based optimization algorithms. It
reviews several works done by a number of authors on these algorithms, highlighting their …

Aiming at the shortcomings of the sparrow search algorithm in the iterations of population
diversity reduction, easy to fall into local optimality and slow convergence speed, a Mixed …

The performance of the recently proposed Unified Particle Swarm Optimization method is
investigated under different schemes for the determination and adaptation of the unification …

In population-based optimization algorithms (POAs), given an optimization problem, the
quality of the solutions depends heavily on the selection of algorithms, strategies and …

Particle Swarm Optimization (PSO) is a metaheuristic evolutionary computation technique
inspired by the social behavior of birds and fish flock. The classical PSO has limitations of …

Recent growth of metaheuristic search strategies has brought a huge progress in the
domain of computational optimization. The breakthrough started since the well-known …

Population initialization is a crucial task in evolutionary algorithms because it can affect the
convergence speed and also the quality of the final solution. If no information about the …