In this paper, we propose EOSMA, an equilibrium optimizer (EO)-guided slime mould
algorithm (SMA), to improve efficiency by optimizing the search of SMAs. Firstly, the …

The slime mould algorithm (SMA) is a metaheuristic algorithm recently proposed, which is
inspired by the oscillations of slime mould. Similar to other algorithms, SMA also has some …

A simple three-term conjugate gradient algorithm which satisfies both the descent condition
and the conjugacy condition is presented. This algorithm is a modification of the Hestenes …

The numerical methods of optimization start with optimizing functions of one variable,
bisection, Fibonacci, and Newton. Then, functions of several variables occupy the main part …

This paper presents a project for three-term conjugate gradient algorithms development. The
search direction of the algorithms from this class has three terms and is computed as …

Institute of Computer Science UFO 2022 Interactive System for Universal Functional
Optimization Page 1 Institute of Computer Science Academy of Sciences of the Czech …

This study presents an advanced metaheuristic approach termed the Enhanced Gorilla
Troops Optimizer (EGTO), which builds upon the Marine Predators Algorithm (MPA) to …

In this paper, a three-term conjugate gradient algorithm is developed for solving large-scale
unconstrained optimization problems. The search direction at each iteration of the algorithm …

Purpose–Generally, iterative methods which have some instability solutions in complex
structural and non-linear mechanical problems are used to compute reliability index. The …

A new three-term conjugate gradient algorithm which satisfies both the descent condition
and the conjugacy condition is presented. The algorithm is obtained by minimization the one …