Biogeography-based optimization (BBO) is an evolutionary algorithm which is inspired by
the migration of species between habitats. Almost 10 years have passed since the first BBO …

Abstract Grey Wolf Optimizer (GWO) algorithm is a relatively new algorithm in the field of
swarm intelligence for solving continuous optimization problems as well as real world …

In order to obtain a Biogeography-Based Optimization (BBO) algorithm with strong universal
applicability, this paper presents a novel hybrid algorithm based on BBO and Grey Wolf …

A critical aspect of the design, simulation, control, and optimization of Photovoltaic (PV)
systems is evaluating the PV model's optimal parameter values based on the actual …

摘要在灰狼优化算法中, C 是一个重要的参数, 其功能是负责算法的勘探能力. 目前, 针对参数C
的研究工作相对较少. 另外, 在算法进化过程中, 群体中其他个体均向α, β 和δ …

This paper proposes a multi-strategy, multiple algorithms based hybrid strategy using flower
pollination algorithm (FPA), grey wolf optimizer (GWO), INFO, and naked mole rat algorithm …

This paper proposes a hybrid version of marine predator algorithm (MPA) and naked mole-
rat algorithm (NMRA) to aggregate the strengths of both algorithms. The new proposed …

Abstract Grey Wolf Optimizer (GWO) is one of the most important Swarm Intelligence based
meta-heuristic algorithm which follows leadership mechanism and well planned hunting …

Recycling tasks are the most effective method for reducing waste generation, protecting the
environment, and boosting the overall national economy. The productivity and effectiveness …

Biogeography-based optimization (BBO) has drawn a lot of attention as its outstanding
performance. However, same with certain typical swarm optimization algorithm, BBO …