Particle swarm optimization (PSO) algorithm has a potential to solve route planning problem
for unmanned aerial vehicle (UAV). However, the traditional PSO algorithm is easy to fall …

In order to effectively solve multi-objective optimization problems (MOPs) and fully balance
uniformity and convergence, a multi-strategy competitive-cooperative co-evolutionary …

Large-scale global optimization (LSGO) problems have widely appeared in various real-
world applications. However, their inherent complexity, coupled with the curse of …

The population structure of differential evolution (DE) algorithm cannot maintain the diversity
of the population to the greatest extent and help the population avoid to fall into the local …

The flight operation data sharing not only brings huge benefits to all participants, but also
puts forward higher requirements for data security. Consortium blockchain provides a new …

Continuous ant colony optimization was a population-based heuristic search algorithm
inspired by the pathfinding behavior of ant colonies with a simple structure and few control …

Solving constrained optimization problems (COPs) with evolutionary algorithms (EAs) is a
popular research direction due to its potential and diverse applications. One of the key …

Energy is a crucial basis for ensuring people's life quality and advancing social and
economic development. Whereas, the crude oil futures prices are influenced by several …

It is crucial to develop a smart analytics system capable of accurately diagnosing diabetic
retinopathy. This research uses a new deep transfer network framework to diagnose …

Large-scale optimization problems (LSOPs) become increasingly ubiquitous but
complicated in real-world scenarios. Confronted with such sophisticated optimization …