A novel metaheuristic called Chaotic Marine Predators Algorithm (CMPA) is proposed and
investigated for the optimization of engineering problems. CMPA integrates the exploration …

This paper addresses a vehicle scheduling problem encountered in the cold chain logistics
of the frozen food delivery industry. Unlike the single product delivery scenario, we propose …

Fuel cell hybrid electric construction equipment (FCHECE) is known as a promising solution
to achieve the goal of energy saving and environment protection. Energy management …

This paper presents an evolutionary algorithm based technique to solve multi-objective
feature subset selection problem. The data used for classification contains large number of …

Manufacturing is the foundation of any industrialized country that involves making products
from raw materials using various processes. Usually, casting and metal forming processes …

In this paper, an autonomous UCAV air combat maneuvering decision method based on
LSHADE-TSO optimization in a model predictive control framework is proposed, along with …

Manufacturing process optimization is an ever-actual goal. Within this goal, machining
parameters optimization is a very important task. Machining parameters strongly influence …

为提高地震波阻抗反演的精度, 提出了一种结合了混沌和遗传思想的混合粒子群算法.
算法在搜索初期, 加入了混沌思想, 使算法具有了遍历性. 在粒子更新过程中, 又加入了选择 …

The present paper continues the authors' research in machining process optimization,
including the direction of machining parameters optimization. The paper develops an …

This study presents the design and implementation of an autonomous control algorithm for a
KVLCC2 tanker ship model to navigate through the challenging waterways of the Istanbul …