This paper puts forward an image encryption approach using chaotic maps and genetic
operations. First, the Keccak algorithm is employed to compute the hash values of a plain …

The procurement of food grains from farmers and their transportation to regional level has
become decisive due to increasing food demand and post-harvest losses in developing …

Air traffic controller (ATC) fatigue has become a major cause of air traffic accidents. Speech-
based fatigue-state detection is proposed in this paper. The speech signal is preprocessed …

Abstract The Lin-Kernighan-Helsgaun (LKH) algorithm is one of the most successful search
algorithms for the Traveling Salesman Problem (TSP). The core of LKH is a variable depth …

Biogeography-based optimization (BBO) is a swarm intelligence optimization algorithm
based on migration and mutation operations, which is usually used to solve the complex …

Automatic clustering problem, which needs to detect the appropriate clustering without a pre-
defined number of clusters (k), is difficult and challenging in unsupervised learning owing to …

Clustering is an important data analysis technique, which has been applied to many
practical scenarios. However, many partitioning based clustering algorithms are sensitive to …

Most of the techniques involved in customer clustering and segmentation are based on
conventional methods of quantitative analysis or traditional data mining approaches such as …

In multi-agent systems (MAS), the coalition formation (CF) is an important problem focusing
on allocating agents to different tasks. In this paper, three specific CF problems are …

The traveling salesman problem (TSP) is one of the most classical NP-hard problems in the
combinatorial optimization, as many practical problems, such as scheduling problems and …