Many decision-making processes in our society involve NP-hard optimization problems. The
largescale, dynamism, and uncertainty of these problems constrain the potential use of …

Modern computational mathematics and informatics for Digital Environments deal with the
high dimensionality when designing and optimizing models for various real-world …

Depending on the developing technology, large-scale problems have emerged in many
areas such as business, science, and engineering. Therefore, large-scale optimization …

In many fields, including management, computer, and communication, Large‐Scale Global
Optimization (LSGO) plays a critical role. It has been applied to various applications and …

High dimensional optimization considers being one of the most challenges that face the
algorithms for finding an optimal solution for real-world problems. These problems have …

This paper proposes a hybrid particle swarm optimization with the fast-simulated annealing
(PSO-FSA). The proposed algorithm is meant to solve high dimensional optimization …

This paper introduces a variant version of the AO for efficiently solving high-dimensional
computationally expensive problems. Traditional optimization techniques struggle with …

Several variants of particle swarm optimization (PSO) have been created to identify various
solutions to compli-cated optimization problems. Only a few PSO algorithms exist that can …

Various practical fields rely on optimization mechanisms to achieve high performance. To
solve optimization problems, optimization algorithms are utilized in systems in various …

Solution representation is an important aspect of the development of a meta-heuristic.
However, most meta-heuristics focus on the algorithm aspect rather than the solution …