In this paper, a novel metaheuristic algorithm called Chaos Game Optimization (CGO) is
developed for solving optimization problems. The main concept of the CGO algorithm is …

Feature selection (FS) is used to solve hard optimization problems in artificial intelligence
and data mining. In the FS process, some, rather than all of the features of a dataset are …

Optimal design and control of industrially important chemical processes rely on dynamic
optimization. However, because of the highly constrained, nonlinear, and sometimes …

Heterogeneous multi-robot system is one of the most important research directions in the
robotic field. Real-time path planning for heterogeneous multi-robot system under unknown …

Multi‐AUV cooperative target search problem in unknown 3D underwater environment is not
only a research hot spot but also a challenging task. To complete this task, each …

Flower pollination algorithm (FPA) is susceptible to local optimum and substandard
precision of calculations. Chaotic operator (CO), which is used in local algorithms to …

The utilization of optimization algorithms within engineering problems has had a major rise
in recent years, which has led to the proliferation of a large number of new algorithms to …

Abstract Yellow Saddle Goatfish Algorithm (YSGA) is an optimization model inspired by the
hunting behavior of yellow saddle goatfish which emulates their collaborative behaviors with …

Proton exchange membrane fuel cells (PEMFC) possess features like high specific power
density, low operating temperature, and low operating pressure and thus are most widely …

Teaching–learning-based optimization (TLBO) algorithm is an excellent human-inspired
optimization technique. This paper proposes an innovative improved version of TLBO …