A comprehensive analysis of nature-inspired meta-heuristic techniques for feature selection problem
Meta-heuristics are problem-independent optimization techniques which provide an optimal
solution by exploring and exploiting the entire search space iteratively. These techniques …
solution by exploring and exploiting the entire search space iteratively. These techniques …
[HTML][HTML] A BIM and machine learning integration framework for automated property valuation
Property valuation contributes significantly to market economic activities, while it has been
continuously questioned on its low transparency, inaccuracy and inefficiency. With Big Data …
continuously questioned on its low transparency, inaccuracy and inefficiency. With Big Data …
A review of different cost-based distributed query optimizers
The paper narrates the review of cost-based query optimizers designed using database
strategies, deterministic, stochastic, hybrid and energy efficiency-based techniques. It was …
strategies, deterministic, stochastic, hybrid and energy efficiency-based techniques. It was …
An improved partheno-genetic algorithm with reproduction mechanism for the multiple traveling salesperson problem
Z Wang, X Fang, H Li, H ** - IEEE Access, 2020 - ieeexplore.ieee.org
This paper considers the problem of the multiple traveling salesperson problem (MTSP) with
multiple depots and closed path. We analyzed the advantages and disadvantages of …
multiple depots and closed path. We analyzed the advantages and disadvantages of …
A robust island parallel genetic algorithm for the quadratic assignment problem
The Quadratic Assignment Problem (QAP) is a difficult and important problem studied in the
domain of combinatorial optimisation. It is possible to solve QAP instances with 10--20 …
domain of combinatorial optimisation. It is possible to solve QAP instances with 10--20 …
[HTML][HTML] Clinical decision support system query optimizer using hybrid Firefly and controlled Genetic Algorithm
Two nature-inspired computing techniques, ie the Firefly and the controlled Genetic
Algorithm in a restricted divergence environment has been combined to propose an …
Algorithm in a restricted divergence environment has been combined to propose an …
Robust heuristic algorithms for exploiting the common tasks of relational cloud database queries
Cloud computing enables a conventional relational database system's hardware to be
adjusted dynamically according to query workload, performance and deadline constraints …
adjusted dynamically according to query workload, performance and deadline constraints …
[HTML][HTML] Design and analysis of stochastic DSS query optimizers in a distributed database system
Query optimization is a stimulating task of any database system. A number of heuristics have
been applied in recent times, which proposed new algorithms for substantially improving the …
been applied in recent times, which proposed new algorithms for substantially improving the …
A multi-colony ant algorithm for optimizing join queries in distributed database systems
Distributed database systems provide a new data processing and storage technology for
decentralized organizations of today. Query optimization, the process to generate an optimal …
decentralized organizations of today. Query optimization, the process to generate an optimal …
Optimization of vehicle automatic navigation path based on remote sensing and GIS
W Lu, M Wu - Optik, 2022 - Elsevier
Objective Taking a general view of the continuous convenience of modern social life,
according to the rapid development of traffic network and communication network, this paper …
according to the rapid development of traffic network and communication network, this paper …