As the population in cities continues to increase, large-city problems, including traffic
congestion and environmental pollution, have become increasingly serious. The …

In search and rescue operations, an efficient search path, colloquially understood as a path
maximizing the probability of finding survivors, is more than a path planning problem …

Artificial bee colony (ABC) is a type of popular swarm intelligence optimization algorithm. It is
widely concerned because of its easy implementation, few parameters and strong global …

The container relocation problem is one of important issues in seaport terminals which could
bring a significant saving on the operating cost even with a slight improvement due to the …

Path planning problems have attracted the interest of more and more researchers due to its
widespread existence in recent years. For example, express delivery and food delivery …

In many container terminals, containers are piled vertically and horizontally in the terminal
yard, limited mainly by the dimensions of the yard crane. Import and export containers are …

The multidimensional knapsack problem (MKP) is a well-known combinatorial optimization
problem with many real-life applications. In this article, a memetic algorithm based on …

The enormous amount of containers handled at ports hampers the efficiency of terminal
operations. The optimization of crane movements is crucial for speeding up the loading and …

Optimization is one of the most studied fields within the wider area of artificial intelligence. In
the current literature, hundreds of works can be found focused on solving many diverse …

The container relocation problem, also known as the block (s) relocation problem, is one of
the most studied optimization problems in container terminals. The problem aims at …