In this paper, we present the swarm intelligence (SI) concept and mention some
metaheuristics belonging to the SI. We present the particle swarm optimization (PSO) …

Abstract The Virtual Machine Placement (VMP) problem is a challenging optimization task
that involves the assignment of virtual machines to physical machines in a cloud computing …

The sine cosine algorithm (SCA) is widely recognized for its efficacy in solving optimization
problems, although it encounters challenges in striking a balance between exploration and …

Meta-heuristic algorithms distinguish themselves from conventional optimization methods
owing to their intrinsic adaptability and straightforward implementation. Among them, the …

Abstract The MAX–MIN Ant System (MMAS) is one of the best-known Ant Colony
Optimization (ACO) algorithms proven to be efficient at finding satisfactory solutions to many …

Among the novel IT paradigms, cloud computing and the Internet of Things (CloudIoT) are
two complementary areas designed to support the creation of smart cities and application …

Trade-offs and conflicts among different sectors of production, living, and ecology have
become important issues in regional sustainable development planning due to both the …

Nowadays, computer researchers can face ever-complex scientific problems by using a
hardware and software co-design. One successful approach is exploring novel massively …

As a rule-based expert system, the belief rule base (BRB) exhibits tremendous advantages
in modeling nonlinearity for complex systems. Present BRB learning studies can be …

With the ability to understand linkages and feedbacks between land use dynamics and
human–land relationships, cellular automata (CA) are extensively applied in land use/cover …