In the mid 1990s two landmark metaheuristics have been proposed: Particle Swarm
Optimization and Differential Evolution. Their initial versions were very simple, but rapidly …

Since year 1989, genetic algorithms (GAs) have been increasingly and successfully used for
various computational purposes (optimization, design, modelling, and control) in science …

This work combines a generalized regression neural network (GRNN) with a non-dominated
sorting genetic algorithm (NSGA-II) to optimize a methanol synthesis plant for multiple …

Lysine production via the fermentation process is one of the most economical production
routes that involves simultaneous conflicting objectives. Two multi-objective differential …

Climate change is becoming the most pronounced issue worldwide, with its origins dating
back to the time of industrialization. It has now become imperative to take remedial steps to …

Differential evolution (DE) algorithm and genetic algorithm (GA) are used in this study to
estimate a set of kinetic parameters for Arabic date juice-based lactic acid production via …

The simulated moving bed (SMB) chromatographic separation is a continuous compound
separation process based on the differences in adsorption capacity exhibited by distinct …

Polymer grade scheduling, maritime surveillance, e-food delivery, e-commerce, and military
tactics necessitate multiple agents (eg, extruders, speed boats, salesmen) capable of visiting …

Electricity consumption is expected to increase considerably in the next few years, so
forecasting and planning will become more important. A new method of forecasting …

With the continuous innovation and replacement of industrial machinery products, the
traditional optional configuration plans are no longer able to complete product selection …