Hyper-heuristics are search techniques for selecting, generating, and sequencing (meta)-
heuristics to solve challenging optimization problems. They differ from traditional (meta) …

This systematic review aims to evaluate the efficacy of fuzzy multi-objective optimization
techniques in supporting decision-making in financial portfolio management under …

Hyper heuristics is a relatively new optimisation algorithm. Numerous studies have reported
that hyper heuristics are well applied in combinatorial optimisation problems. As a classic …

This study aims to understand the development trends and research structure of articles on
artificial intelligence (AI) and information processing in the past 10 years. In particular, this …

The African Vulture Optimization Algorithm (AVOA) is inspired by African vultures' feeding
and orienting behaviors. It comprises powerful operators while maintaining the balance of …

In the sixth generation (6G) of mobile communication networks, radio resource allocation
management (RRAM) systems must offer high levels of customization and sustainability in …

Combined generation units of heat and power, known as CHP units, are one of the most
prominent applications of distributed generations in modern power systems. This concept …

The aim of electrical load dispatch (ELD) is to achieve the optimal planning of different
power plants to supply the required power at the minimum operation cost. Using the …

Metaheuristics algorithms are designed to find approximate solutions for challenging
optimization problems. The success of the algorithm over a given optimization task relies on …

Hyper-heuristics have arisen as methods that increase the generality of existing solvers.
They have proven helpful for dealing with complex problems, particularly those related to …