The simulation of various rock properties based on three‐dimensional digital cores plays an
increasingly important role in oil and gas exploration and development. The accuracy of 3D …

The construction sector, which accounts for around 40% of the total annual global
greenhouse gas (GHG) emissions, has been charged with decreasing its energy usage and …

Inspired by Bat Algorithm, a novel algorithm, which is called Evolved Bat Algorithm (EBA), for
solving the numerical optimization problem is proposed based on the framework of the …

Ant Colony Optimization (ACO)[1, 2, 3] is a metaheuristic for solving hard combinatorial
optimization problems inspired by the indirect communication of real ants. In ACO …

In this paper, we present an enhanced parallel cat swarm optimization (EPCSO) method for
solving numerical optimization problems. The parallel cat swarm optimization (PCSO) …

Bayesian network structure learning is the basis of parameter learning and Bayesian
inference. However, it is a NP-hard problem to find the optimal structure of Bayesian …

An ensemble is a collective decision-making system which applies a strategy to combine the
predictions of learned classifiers to generate its prediction of new instances. Early research …

Algorithms inspired by swarm intelligence have been used for many optimization problems
and their effectiveness has been proven in many fields. We propose a new swarm …

In this paper, a compact Articial Bee Colony optimization method (cABC) for applying to the
topology optimization of wireless sensor networks (WSNs) is presented. The purpose of …

Bayesian network has been widely used as a powerful reasoning and knowledge
expression tool to analyze toot causes. With the increasing scale and integration of modern …