Swarm intelligence algorithms are a subset of the artificial intelligence (AI) field, which is
increasing popularity in resolving different optimization problems and has been widely …

In recent years, there has been a growing research interest in integrating machine learning
techniques into meta-heuristics for solving combinatorial optimization problems. This …

This work presents a novel nature-inspired metaheuristic called Nutcracker Optimization
Algorithm (NOA) inspired by Clark's nutcrackers. The nutcrackers exhibit two distinct …

Fox is very popular in various regions of the Globe, where representatives of this kind can be
found in Europe, Asia, North America, and even in some arctic regions. The way this …

Optimization of the green logistics location-routing problem with eco-packages involves
solving a two-echelon location-routing problem and the pickup and delivery problem with …

In this paper, an effective improved co-evolution ant colony optimisation (MSICEAO)
algorithm is presented to solve complex optimisation problem. In the MSICEAO, the multi …

This paper introduces an innovative automatic K-means clustering algorithm, namely HGA-
FACO, which seamlessly integrates the noise algorithm, Genetic Algorithm (GA), Ant Colony …

Swarm intelligence (SI) algorithms, including ant colony optimization, particle swarm
optimization, bee-inspired algorithms, bacterial foraging optimization, firefly algorithms, fish …

A traveling salesman problem (TSP) is a well-known NP-complete problem. Traditional TSP
presumes that the locations of customers and the traveling time among customers are fixed …

With the rapid development of logistics industry, vehicle scheduling is the key to the
optimization of transportation links. Vehicle transportation route planning is becoming more …