Dynamic impact for ant colony optimization algorithm
J Skackauskas, T Kalganova, I Dear… - Swarm and Evolutionary …, 2022 - Elsevier
This paper proposes an extension method for Ant Colony Optimization (ACO) algorithm
called Dynamic Impact. Dynamic Impact is designed to improve convergence and solution …
called Dynamic Impact. Dynamic Impact is designed to improve convergence and solution …
A comprehensive cross-model framework for benchmarking the performance of quantum hamiltonian simulations
Quantum Hamiltonian simulation is one of the most promising applications of quantum
computing and forms the basis for many quantum algorithms. Benchmarking them is an …
computing and forms the basis for many quantum algorithms. Benchmarking them is an …
Be your neighbor's miner: Building trust in ledger content via reciprocally useful work
Distributed Ledgers (DLs) like Blockchain have become a popular technique to build
collective trust in digital records. The rationale is that any agent wishing to append a block to …
collective trust in digital records. The rationale is that any agent wishing to append a block to …
Conclusion and Future Prospects
AH Abdul Halim, S Das, I Ismail - Into a Deeper Understanding of …, 2025 - Springer
Unlike their deterministic counterparts, metaheuristic optimization algorithms are practically
proficient yet disreputably hard to analyze and understand. The stochastic nature lies in the …
proficient yet disreputably hard to analyze and understand. The stochastic nature lies in the …
[PDF][PDF] Online Content Generation in Mobile Applications-Adaptation and Personalization for Location-based Game Systems
T Tregel - 2021 - tuprints.ulb.tu-darmstadt.de
Location-aware mobile applications like navigation services or fitness trackers are inherently
incorporated into our everyday life. The success of Ingress and Pokémon GO popularized …
incorporated into our everyday life. The success of Ingress and Pokémon GO popularized …
Data Partitioning and Compensation Techniques for Secure Training of Machine Learning Models
L Mauri - 2022 - air.unimi.it
Abstract Advances in Machine Learning (ML), coupled with increased availability of huge
amounts of data collected from diverse sources and improvements in computing power …
amounts of data collected from diverse sources and improvements in computing power …
[图书][B] Into a Deeper Understanding of Evolutionary Computing: Exploration, Exploitation, and Parameter Control: Volume 2
AHA Halim - books.google.com
The Emergence, Complexity and Computation (ECC) series publishes new devel-opments,
advancements and selected topics in the fields of complexity, computa-tion and emergence …
advancements and selected topics in the fields of complexity, computa-tion and emergence …
[PDF][PDF] Optimisation of fusion networks with linear resource states
W Cashman - cs.ox.ac.uk
Fusion-based quantum computing is a new method of implementing measurementbased
quantum computing (MBQC) algorithms on photonic hardware. It constructs the highly …
quantum computing (MBQC) algorithms on photonic hardware. It constructs the highly …
Abdul Hanif Abdul Halim Swagatam Das Idris Ismail
ECC Computation - Springer
The Emergence, Complexity and Computation (ECC) series publishes new developments,
advancements and selected topics in the fields of complexity, computation and emergence …
advancements and selected topics in the fields of complexity, computation and emergence …