Metaheuristic algorithms are well-known optimization tools which have been employed for solving a wide range of optimization problems so far. In the present study, a simple optimization (SOPT) algorithm with two main steps namely exploration and exploitation, is provided for practical applications. Aside from a reasonable rate of convergence attained, the ease in its implementation and dependen...

Chemical reaction optimization (CRO) is a newly proposed, easy to implement metaheuristic inspired by the phenomena between molecules in chemical reactions. However, CRO behaves like a random search to traverse the whole solution space, which could confine the algorithm’s search ability. The orthogonal experimental design (OED) method is a robust-design method that can obtain the best combinati...

This paper proposes a novel optimization algorithm called Cellular Probabilistic Optimization Algorithms (CPOA) based on the probabilistic representation of solutions for real coded problems. In place of binary integers, the basic unit of information here is a probability density function. This probabilistic coding allows superposition of states for a more efficient algorithm. This probabilisti...

Particle swarm optimization (PSO) has exhibited well-known feasibility in problem optimization. However, its performance still encounters challenges when confronted with complicated problems many local areas. In PSO, the interaction among particles and utilization of communication information play crucial roles improving learning effectiveness diversity particles. To promote particles, this pap...

Butterfly optimization algorithm (BOA) is a relatively novel technique for solving function as well real-world applications. However, the paramount challenge in BOA that it prone to stagnation local optima. The purpose of this study balance exploration and exploitation abilities when two new strategies are introduced. dynamic inertia weight based on Logistic model first strategy introduced modi...

An integrated optimization framework, including location assignment under grouping class-based storage policy and schedule of dual shuttle cranes, is offered by presenting a new optimization programming model. The objective functions, which are considered at this level, are the minimization of total costs and energy consumption. Scheduling of dual shuttle cranes among specified locations, which...

The numerical simulation research of the Underwater Unmanned Vehicle (UUV) shell shape is carried out by applying the modern fluid dynamics numerical simulation technology. In the numerical simulation process, while focusing on the characteristics of the UUV shape, this treatise work properly with its computational model, computational domain, computational grid and boundary conditions. Based o...