Demand-side management, a new development in smart grid technology, has enabled
communication between energy suppliers and consumers. Demand side energy …

One of the main limitations to the economic sustainability of biodiesel production remains
the high feedstock cost. Modeling and optimization are crucial steps to determine if …

Differential evolution (DE) is one of the highly acknowledged population-based optimization
algorithms due to its simplicity, user-friendliness, resilience, and capacity to solve problems …

The widespread integration of software into all parts of our lives has led to the need for
software of higher reliability. Ensuring reliable software usually necessitates some form of …

Usually, a large number of concurrent bag-of-tasks (BoTs) application execution requests
are submitted to cloud data centers (CDCs), which needs to be optimally scheduled on the …

In this paper, a new algorithm is presented to deal with real parameter single-objective
optimization problems, which are often complex and computationally very expensive. The …

Comprehensive experimental investigation and accurate predictive models are required to
understand the dynamics in Ionic liquid (IL) properties. Examples of these predictive models …

Real parameter optimization problems are often very complex and computationally
expensive. We can find such problems in engineering and scientific applications. In this …

Herein, we developed an integrated process for H 2 recovery and CO 2 capture from the tail
gas of hydrogen plants. The front-sector system (cryogenic, membrane, and compressor …

This study presents the Hybrid COASaDE Optimizer, a novel combination of the Crayfish
Optimization Algorithm (COA) and Self-adaptive Differential Evolution (SaDE), designed to …