Tag: metaheuristics

Researchers have developed eLSHADE+, an adaptive hybrid metaheuristic that improves dynamic model calibration in large-scale systems biology.

Researchers Nabil Chabab and Mohammed Gabli have proposed a hybrid computational framework designed to address persistent operational challenges in emergency ...

A parallel hybrid algorithm combining sine cosine and tabu search improves mobile robot path planning performance by up to 265% ...

A reproducible fuzzy-optimization framework converts uncertain post-earthquake travel conditions in Türkiye into a directed routing problem, benchmarking five nature-inspired algorithms ...

Researchers have introduced Hooded Seal optimization, a swarm-based evolutionary metaheuristic that outperformed or matched established algorithms across classical and modern ...

A new study reports that hybrid broad learning systems optimized by parameter-free metaheuristics predict concrete compressive strength with MAPE below ...

A new review maps the evolution of cloud task scheduling algorithms, from classical heuristics to nature-inspired meta-heuristics and hybrids, and ...

A hybrid metaheuristic algorithm combining the Aquila Optimizer, the Sine Cosine Hyperbolic Optimizer, and opposition-based learning tuned eight hyperparameters of ...

A new adaptive Lévy flight–based wolf pack algorithm significantly outperforms ten competing metaheuristics on 300 multi-UAV reconnaissance task allocation benchmarks.

A hybrid genetic algorithm with dynamic clustering lets operators rebalance dockless bike fleets and collect faulty bicycles in a single ...