Adjusting the search behaviors of swarm-based algorithms during their execution is a
fundamental errand for addressing real-world global optimizing challenges. Along this line …

This paper reviews the key building blocks needed to develop a mechanistic model for use
as an operational production tool. The Chinese Hamster Ovary (CHO) cell, one of the most …

A commonly-encountered problem in foundation design is the reliable prediction of the pile
bearing capacity (PBC). This study is planned to propose a feasible soft computing …

The truss optimization problem has been extensively investigated, and the optimized trusses
have been widely used in various fields. Truss optimization is a challenging optimization …

In this work, a new and effective algorithm called hybrid teaching–learning-based
optimization (TLBO) and charged system search (CSS) algorithms (HTC) are proposed to …

This work evaluates the performance of the salp swarm algorithm (SSA) for truss system
optimization problems and presents a novel method called the modified salp swarm …

In this study, a very recently developed intelligent algorithm called Bonobo Optimizer (BO)
algorithm is implemented for the sizing optimization of the truss structures with discrete and …

In the present study, an efficient hybrid algorithm is proposed based on the particle swarm
optimizer (PSO) and the cultural algorithm (CA) for the optimal design of truss structures. In …

Optimization is an act of decision-making for reaching a point in which the overall behaviour
of the considered system is acceptable by the experts. In this paper, the optimum design of …

The chaos game optimization (CGO) algorithm is a recently developed metaheuristic
inspired by chaos theory and fractal configurations. In CGO, possible optimal solutions are …