Large-scale global optimization (LSGO) problems have widely appeared in various real-
world applications. However, their inherent complexity, coupled with the curse of …

Particle swarm optimization algorithms (PSOA) is a metaheuristic algorithm used to optimize
computational problems using candidate solutions or particles based on selected quality …

This paper tackles the short-term hydro-power unit commitment problem in a multi-reservoir
system—a cascade-based operation scenario. For this, we propose a new mathematical …

Optimizing large-scale numerical problems is a significant challenge with numerous real-
world applications. The optimization process is complex due to the multi-dimensional search …

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

Hybrid micro-grid systems (HMGS) are gaining increasing attention worldwide. The balance
between electricity load and generation based on fluctuating renewable energy sources is a …

Modern real-valued optimization problems are complex and high-dimensional, and they are
known as “large-scale global optimization (LSGO)” problems. Classic evolutionary …

In this paper, an enhanced differential evolution algorithm based on dual population hybrid
update and random population replacement strategy (namely RPR mechanism) is …

Evolutionary Algorithms (EAs) are powerful heuristic search approaches which relies on
Darwinian evolution that capture global solutions to complex optimization problems which …

Large-scale global optimization (LSGO) has been an active research field. Part of this
interest is supported by its application to cutting-edge research, such as Deep Learning, Big …