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Multi-strategy chimp optimization algorithm for global optimization and minimum spanning tree
Aiming at the shortcomings of Chimp optimization algorithm (ChOA), which is easy to fall into local optimal value and imbalance between global...
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3S optimizer: a new meta‑heuristic global optimization algorithm
In this research, an original algorithm called 3S optimizer (3SO) is presented, which is inspired by swarm intelligence (SI) techniques. This novel...
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AEOWOA: hybridizing whale optimization algorithm with artificial ecosystem-based optimization for optimal feature selection and global optimization
The process of data classification involves determining the optimal number of features that lead to high accuracy. However, feature selection (FS) is...
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A novel hybrid pelican-particle swarm optimization algorithm (HPPSO) for global optimization problem
Particle Swarm Optimization (PSO) has drawn attention due to its widespread use in scientific and engineering fields. However, it suffers from a...
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Empowering African vultures optimizer using Archimedes optimization algorithm for maximum efficiency for global optimization and feature selection
Feature selection (FS) plays a pivotal role in data mining, presenting an optimization challenge that seeks to reduce feature size and enhance model...
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An optimization algorithm combining local exploitation and global exploration for computationally expensive problems
An adaptive ensemble of surrogates assisted optimization algorithm combining local exploitation and global exploration (CLEGE) for computationally...
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An improved hybrid salp swarm optimization and African vulture optimization algorithm for global optimization problems and its applications in stock market prediction
Optimization is necessary for solving and improving the solution of various complex problems. Every meta-heuristic algorithm can have a weak point,...
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Hybrid Modified Chimp Optimization Algorithm and Reinforcement Learning for Global Numeric Optimization
Chimp Optimization Algorithm (ChOA) is one of the most efficient recent optimization algorithms, which proved its ability to deal with different...
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Wind Driven Butterfly Optimization Algorithm with Hybrid Mechanism Avoiding Natural Enemies for Global Optimization and PID Controller Design
This paper presents a Butterfly Optimization Algorithm (BOA) with a wind-driven mechanism for avoiding natural enemies known as WDBOA. To further...
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Teaching–learning guided salp swarm algorithm for global optimization tasks and feature selection
The basic salp swarm algorithm (SSA) is a novel nature-inspired swarm intelligence optimization algorithm based on the foraging behavior of salp...
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Global Optimization-Based Energy Management Strategy for Series–Parallel Hybrid Electric Vehicles Using Multi-objective Optimization Algorithm
The study of series–parallel plug-in hybrid electric vehicles (PHEVs) has become a research hotspot in new energy vehicles. The global optimal Pareto...
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Numeric Crunch Algorithm: a new metaheuristic algorithm for solving global and engineering optimization problems
In order to solve optimization problems, this paper introduces a new metaheuristic algorithm called the Numeric Crunch Algorithm (NCA), which employs...
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A Hybrid Moth Flame Optimization Algorithm for Global Optimization
The Moth Flame Optimization (MFO) algorithm shows decent performance results compared to other meta-heuristic algorithms for tackling non-linear...
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An Improved Golden Jackal Optimization Algorithm Using Opposition-Based Learning for Global Optimization and Engineering Problems
Golden Jackal Optimization (GJO) is a recently developed nature-inspired algorithm that is motivated by the collaborative hunting behaviours of the...
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Global and Local Moth-flame Optimization Algorithm for UAV Formation Path Planning Under Multi-constraints
To improve the global and local search ability of moth-flame optimization algorithm, three optimization strategies are proposed in this paper, namely...
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An orthogonal electric fish optimization algorithm with quantization for global numerical optimization
In the past few decades, meta-heuristic algorithms have become a research hotspot in the field of evolutionary computing. The electric fish...
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Enhanced crow search algorithm with multi-stage search integration for global optimization problems
Crow search algorithm (CSA), as a new swarm intelligence algorithm that simulates the crows’ behaviors of hiding and tracking food in nature,...
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Multiobjective Optimization of Hull Form Based on Global Optimization Algorithm
Rankine source method, optimization technology, parametric modeling technology, and improved multiobjective optimization algorithm were combined to...
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Torque ripple reduction for switched reluctance motors using global optimization algorithm
Global optimization algorithms are widely used to effectively suppress the torque ripple in switched reluctance motors (SRMs). In this paper, an...
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Testing Different Stochastic Methods to Model Direct Current Resistivity and Seismic Refraction Geophysical Data Using a Combined Local and Global Optimization Algorithm
Global optimization methods have recently become an essential option in the processing and interpretation of geophysical data sets. In this study, we...
