Circulatory System Based Optimization (CSBO): an expert multilevel biologically inspired meta-heuristic algorithm
The optimization problems are becoming more complicated, requiring new and efficient
optimization techniques to solve them. Many bio-inspired meta-heuristic algorithms have …
optimization techniques to solve them. Many bio-inspired meta-heuristic algorithms have …
A comprehensive survey on the sine–cosine optimization algorithm
Metaheuristic algorithms based on intelligent rules have been successfully developed and
applied to solve many optimization areas over the past few decades. The sine–cosine …
applied to solve many optimization areas over the past few decades. The sine–cosine …
A global best-guided firefly algorithm for engineering problems
Abstract The Firefly Algorithm (FA) is a highly efficient population-based optimization
technique developed by mimicking the flashing behavior of fireflies when mating. This article …
technique developed by mimicking the flashing behavior of fireflies when mating. This article …
The colony predation algorithm
This paper proposes a new stochastic optimizer called the Colony Predation Algorithm
(CPA) based on the corporate predation of animals in nature. CPA utilizes a mathematical …
(CPA) based on the corporate predation of animals in nature. CPA utilizes a mathematical …
A sinh cosh optimizer
Currently, meta-heuristic algorithms have been widely studied and applied, but balancing
exploration and exploitation remains a challenge. In this study, a novel meta-heuristic …
exploration and exploitation remains a challenge. In this study, a novel meta-heuristic …
Geyser inspired algorithm: a new geological-inspired meta-heuristic for real-parameter and constrained engineering optimization
Over the past years, many efforts have been accomplished to achieve fast and accurate
meta-heuristic algorithms to optimize a variety of real-world problems. This study presents a …
meta-heuristic algorithms to optimize a variety of real-world problems. This study presents a …
Slime mould algorithm: A new method for stochastic optimization
In this paper, a new stochastic optimizer, which is called slime mould algorithm (SMA), is
proposed based on the oscillation mode of slime mould in nature. The proposed SMA has …
proposed based on the oscillation mode of slime mould in nature. The proposed SMA has …
Optimization based on performance of lungs in body: Lungs performance-based optimization (LPO)
The development of efficient optimization algorithms is crucial across various scientific
disciplines. As the complexity and diversity of optimization problems continue to grow …
disciplines. As the complexity and diversity of optimization problems continue to grow …
A survey of learning-based intelligent optimization algorithms
A large number of intelligent algorithms based on social intelligent behavior have been
extensively researched in the past few decades, through the study of natural creatures, and …
extensively researched in the past few decades, through the study of natural creatures, and …
An improved opposition-based marine predators algorithm for global optimization and multilevel thresholding image segmentation
A recent meta-heuristic algorithm called Marine Predators Algorithm (MPA) is enhanced
using Opposition-Based Learning (OBL) termed MPA-OBL to improve their search efficiency …
using Opposition-Based Learning (OBL) termed MPA-OBL to improve their search efficiency …