Comparing SSALEO as a Scalable Large Scale Global Optimization ...

SSALEO is a novel search technique that accounts for population diversity, the imbalance between exploitation and exploration, and the SSA ...

(PDF) Comparing SSALEO as a Scalable Large Scale Global ...

The Salp Swarm Algorithm (SSA) outperforms well-known algorithms such as particle swarm optimizers and grey wolf optimizers in complex optimization ...

Comparing SSALEO as a Scalable Large Scale Global Optimization Algorithm to High-Performance Algorithms for Real-World Constrained Optimization Benchmark ...

Comparing SSALEO as a Scalable Large Scale Global Optimization ...

ABSTRACT The Salp Swarm Algorithm (SSA) outperforms well-known algorithms such as particle swarm optimizers and grey wolf optimizers in complex ...

Comparing SSALEO as a Scalable Large Scale Global Optimization ...

Comparing SSALEO as a Scalable Large Scale Global Optimization Algorithm to High-Performance algorithms for Real-world Constrained Optimization Benchmark.

Comparing SSALEO as a Scalable Large Scale Global Optimization ...

PDF | Implementation code : Comparing SSALEO as a Scalable Large Scale Global Optimization Algorithm to High-Performance algorithms for Real-world.

(PDF) Comparing SSALEO as a Scalable Large Scale Global ...

Comparing SSALEO as a Scalable Large Scale Global Optimization Algorithm to High-Performance Algorithms for Real-World Constrained Optimization Benchmark.

Large-Scale Competitive Learning-Based Salp Swarm for Global ...

Compare CL-SSA to the Most Modern Optimization Techniques ... Scalability of Generalized Adaptive Differential Evolution for Large-Scale Continuous Optimization.

Extremely high-dimensional optimization with MapReduce: Scaling ...

Comparing SSALEO as a Scalable Large Scale Global Optimization Algorithm to High-Performance Algorithms for Real-World Constrained Optimization Benchmark.

Large-Scale Competitive Learning-Based Salp Swarm for Global ...

Qaraad, Comparing SSALEO as a Scalable Large Scale Global Optimization Algorithm to High ... Scale Global Optimization Using Improved Particle Swarm Optimizer ...

Fine-Tuned Cardiovascular Risk Assessment: Locally Weighted ...

Comparing SSALEO as a Scalable Large Scale Global Optimization Algorithm to High-Performance Algorithms for Real-World Constrained Optimization Benchmark.

100 Million dimensions large-scale global optimization using ...

In this work, we study the benefits of exploiting a scalable and distributed computational architecture with multiple GPUs for large scale function optimisation ...

‪Nazar K. Hussein‬ - ‪Google Scholar‬

Comparing SSALEO as a scalable large scale global optimization algorithm to high-performance algorithms for real-world constrained optimization benchmark. M ...

Hybrid artificial electric field employing cuckoo search algorithm with ...

Comparing SSALEO as a scalable large scale global optimization algorithm to high-performance algorithms for real-world constrained ...

Comparing Large-Scale Global Optimization Competition winners in ...

In our opinion, this should encourage researchers to continue working in more scalable and efficient algorithms for large-scale global optimization. Index Terms ...

‪Nazar K. Hussein‬ - ‫الباحث العلمي من Google‬

Comparing SSALEO as a scalable large scale global optimization algorithm to high-performance algorithms for real-world constrained optimization benchmark‏. M ...

Large-Scale Competitive Learning-Based Salp Swarm for Global ...

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Nazar K. Hussein (0000-0003-4295-581X) - ORCID

Comparing SSALEO as a Scalable Large Scale Global Optimization Algorithm to High-Performance Algorithms for Real-World Constrained Optimization Benchmark.

Master-Slave TLBO Algorithm for Constrained Global Optimization ...

Comparing SSALEO as a Scalable Large Scale Global Optimization Algorithm to High-Performance Algorithms for Real-World Constrained Optimization Benchmark.

A radically more scalable alternative to Bayesian Optimization

... scale. This isn't a flaw in your algorithm - global optimization of non 'nice' functions in high dimensions is essentially impossible for ...