Abstract Chemical Reaction Optimization (CRO) is a recently established population based
metaheuristic for optimization problems inspired by the natural behavior of chemical …

This paper addresses the escalating challenges posed by the ever-increasing data volume,
velocity, and the demand for low-latency applications, driven by the proliferation of smart …

This paper examines the environmental impact produced by multi-vehicle transportation on
a sustainable supply chain (SC) network. The relevance of green principles is gaining …

In this paper we propose a new hybrid metaheuristic approach which combines Chemical
Reaction Optimization and Differential Evolution to solve global numerical optimization …

Wireless sensor networks encounter energy saving as a major issue as the sensor nodes
having no rechargeable batteries and also the resources are limited. Clustering of sensors …

In real world circumstances, when both maximizing and minimizing operations occur in one
problem, there might be conflicting situation. In this paper, we introduce a novel hybrid …

Energy consumption of sensor nodes in wireless sensor networks (WSNs) is an extremely
basic issue. Sensor nodes are typically control compelled, have constrained calculation and …

Several approaches are proposed to solve global numerical optimization problems. Most of
researchers have experimented the robustness of their algorithms by generating the result …

Speaker recognition has been studied for many years and has been a hot topic. This paper
presents an overview of speaker recognition methods, which include the classical and the …