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Preprint
Sep 2026
A hybrid crossover kangaroo escape optimization framework for engineering optimization and UAV path planning
This paper develops a hybrid crossover-based optimization framework that enhances population interaction and improves search efficiency, and is applied to UAV path planning, formulated as a constrained optimization problem, demonstrating its effectiveness and scalability in complex engineering scenarios.
Hang Liu, Hua-Yi Wei
· 0 citations
Open access
Sep 2026
A hybrid-enhanced walrus optimizer for mobile robot path planning
Path planning is essential to autonomous navigation in mobile robots, and its performance directly affects task execution efficiency and operational safety. To address the limited convergence accuracy, susceptibility to local optima, and limited late-stage exploitation capability of the walrus optimizer (WO) in path pl...
Min Wu, Bing-Xing Liu, Kun-Ting Zhao et al.
· Measurement science and tech... · 0 citations
Open access
Aug 2026
Research and Validation of Complex Constrained Path Planning Based on the Multi-Strategy Improved Aquila Optimizer
By prioritizing absolute search stability and robustness in high-dimensional tasks, the proposed algorithm attains an optimal balance between convergence quality and practical engineering efficiency, proving exceptionally effective in complex path-planning scenarios.
Wenliang Zhu, Min-Xuan Wu
· Applied Sciences · 0 citations
A practical DIRECT-type algorithm for medium-scale black-box global optimization
X-DTC-GL is introduced, a novel DIRECT-type algorithm that incorporates dynamic partitioning and hybridization techniques that improve performance within the partition-based framework, strengthening the algorithm's competitiveness in state-of-the-art black-box optimization.
Linas Stripinis, Remigijus Paulavičius
· Applied Soft Computing · 0 citations
Open access
Aug 2026
A coordinated hybrid initialization and multi-operator framework for swarm-based optimization
An enhanced sand cat swarm algorithm (ESC-SCSA) is developed and comprehensively evaluated through sensitivity analysis, ablation studies, convergence analysis, and statistical significance tests, demonstrating its effectiveness and potential generalization capability across both continuous and discrete optimization pr...
wirawati dewi ahmad, Azuraliza Abu Bakar, Mohd Nor Akmal Khalid
· Engineering Research Express · 0 citations
Open access
2026
Scallop Locomotion Optimizer: A Novel Optimization Technique for Global Optimization Tasks and Freezing Depth Prediction of Tunnels in Cold Regions
This paper presents a novel nature-inspired metaheuristic algorithm, namely Scallop Locomotion Optimizer (SLO), designed to tackle global optimization problems across a diverse range of scenarios. The SLO algorithm primarily simulates the water absorption, water expulsion, and sliding locomotion behavior of scallops to...
Hao-Yang Zhu, Wu-Rong Jia, Pin-Gan Wang et al.
· IEEE Access · 0 citations