In recent years, swarm intelligence optimization algorithms have been proven to have
significant effects in solving combinatorial optimization problems. Introducing the concept of …

In recent years, neural networks have become a common practice in academia for handling
complex problems. Numerous studies have indicated that complex problems can generally …

The recently emerging multi-portfolio selection problem lacks a proper framework to ensure
that client privacy and database secrecy remain intact. Since privacy is of major concern …

The field of computer science has undergone rapid expansion due to the increasing interest
in improving system performance. This has resulted in the emergence of advanced …

In this paper, a new kinematic parameter error calibration method based on the Levenberg–
Marquard and the beetle antennae search algorithm is proposed to enhance the positioning …

In this paper, we presented a Quadratic Interpolated Beetle Antennae Search (QIBAS), a
variant of the Beetle Antennae Search (BAS) algorithm to solve the higher dimensional …

Aiming at the intelligent production line scheduling problem, a production line scheduling
method considering multiple constraints was proposed. Considering the constraints of …

The collaborative model is the needed framework to find a good product in both user-and
budget-friendly. These collaborative filtering models have provided product …

In large-scale surveillance of urban or rural areas, an effective placement of cameras is
critical in maximizing surveillance coverage or minimizing economic cost of cameras …

Industrial robot speed control remains a critical aspect for efficient operations, especially
given the challenges of nonlinearity and multivariable characteristics inherent to servo motor …