This study proposes a cellular automata ant memory model (CAAM) that controls a robot
swarm when undertaking the foraging task in a previously known environment with nests …

Automatic programming (AP) is one of the most attractive branches of artificial intelligence
because it provides effective solutions to problems with limited knowledge in many different …

In this paper, the Takagi–Sugeno fuzzy model is derived from the given nonlinear systems.
The objective is to linearize these nonlinear systems into several fuzzy differential equations …

Relying on artificial bee colony programming (ABCP), we present in this paper, for the first
time, a novel methodology for solving differential equations. The three-phase evolving …

The Euler method is a typical one for numerically solving initial value problems of ordinary
differential equations. Particle swarm optimization (PSO) is an efficient algorithm for …

目的通过对仿真系统中微分代数方程(Differential Algebraic Equations, DAE) 求解过程的描述,
协助开发人员在仿真建模求解方面有更加深入的理解, 便于分析和查找仿真建模中的问题 …

Metaheuristics are well known approaches to solve efficiently hard optimization problems.
Furthermore, the automatic generation of computer programs using metaheuristics as …

Stochastic differential equations (SDE) have wide applications in natural phenomena,
engineering, finance, and biological models. Obtaining analytic solutions for an SDE is often …

Swarm intelligence occurs when the collective behavior of low-level individuals and their
local interactions form an overall pattern of uniform function. Incorporating swarm …

Since the ant colony algorithm is proposed, it has achieved the remarkable achievements in
many fields. With the development of the times, the traditional ant colony algorithm exposes …