This article represents a brief study on popular bio-inspired meta-heuristic optimization
methods and their applications. These methods, which imitate biological phenomena or …

In this paper, an improved ant colony optimization (ICMPACO) algorithm based on the multi-
population strategy, co-evolution mechanism, pheromone updating strategy, and …

The ant colony optimization (ACO) algorithm is a type of classical swarm intelligence
algorithm that is especially suitable for combinatorial optimization problems. To further …

Fuzzy c-means (FCM) is a well-known unsupervised clustering algorithm based on fuzzy
logic and used in many applications. However, it has some disadvantages. One …

Cloud computing becomes a promising technology to reduce computation cost by providing
users with elastic resources and application-deploying environments as a pay-per-use …

Since cloud computing provides computing resources on a pay per use basis, a task
scheduling algorithm directly affects the cost for users. In this paper, we propose a novel …

Constraint satisfaction problem (CSP) is defined as a set of variables whose values need to
satisfies a set of constraints. Ant colony optimization (ACO) has been proved to be a …

Disadvantages inherent to existing guidance systems for scenic areas can be reduced to a
partial point traversal problem in the connected graph. This paper presents an intelligent, ant …

This paper presents an improved ant colony algorithm for the path planning of the
omnidirectional mobile vehicle. The purpose of the improved ant colony algorithm is to …

Dynamic pricing strategy will play an increasingly important role in solving the contradiction
between power supply and demand under the current electricity market environment. The …