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acde

amp

ccoa

Cooperative Coati Optimization Algorithm with Transfer Functions for Feature Selection and Knapsack Problems

cia

cvege

Chaotic Vegetation Evolution: Leveraging Multiple Seeding Strategies and a Mutation Module for Global Optimization Problems

dea2h2

DEA2H2: Differential Evolution Architecture based Adaptive Hyper-Heuristic Algorithm for Continuous Optimization

dgtcia

embgo

emsmo

Evolutionary Multi-mode Slime mold Optimization: A hyper-heuristic algorithm inspired by slime mold foraging behaviors

es-hha

A Novel Evolutionary Status Guided Hyper-heuristic Algorithm for Continuous Optimization

geminide

GeminiDE: A Novel Parameter Adaptation Scheme in Differential Evolution

gtmbgo

Gene Targeting Multiplayer Battle Game Optimizer for Large-scale Global Optimization via Cooperative Coevolution

hade-ls

Hierarchical Adaptive Differential Evolution with Local Search for Extreme Learning Machine

hccia

hhde

hrcoa

A Hybrid Remora and Crayfish Optimization Algorithm for Engineering Problems and Wireless Sensor Network Coverage Optimization

hrimemsp

ishacde

ivege

Vegetation Evolution with Dynamic Maturity Strategy and Diverse Mutation Strategy for Solving Optimization Problems

l-icso

llmo

Large Language Model Assisted Adversarial Robustness Neural Architecture Search

llmoa

mbgo

Multiplayer battle game-inspired optimizer for complex optimization problems

qvege

Q-Learning based Vegetation Evolution for Numerical Optimization and Wireless Sensor Network Coverage Optimization

rmld

sao_k-aus

Snow ablation optimization with asynchronous update strategy and top-$k$ survival mechanism for global optimization

sea-hha

Surrogate Ensemble-Assisted hyper-heuristic algorithm for Expensive Optimization Problems

seadecc-eddg

Cooperative coevolutionary surrogate ensemble assisted differential evolution with efficient dual differential grouping for large-scale expensive optimization problems

sfe-eands

srime

SRIME: An strengthened RIME with Latin hypercube sampling and embedded distance-based selection for engineer optimization problems