Search alternatives:
warm optimization » swarm optimization (Expand Search), whale optimization (Expand Search), based optimization (Expand Search)
i process » _ process (Expand Search), up process (Expand Search)
basic » basis (Expand Search)
warm optimization » swarm optimization (Expand Search), whale optimization (Expand Search), based optimization (Expand Search)
i process » _ process (Expand Search), up process (Expand Search)
basic » basis (Expand Search)
-
1
A Parallel Tabu Search Algorithm for Optimizing Multiobjective VLSI Placement
Published 2005Get full text
article -
2
Multi-Objective Co-optimization of Power and Gas under Uncertainties with P2H embedded
Published 2022Get full text
doctoralThesis -
3
Optimal scheduling algorithm for residential building distributed energy source systems using Levy flight and chaos-assisted artificial rabbits optimizer
Published 2023“…Based on the average Friedman’s ranking test values, the proposed algorithm stands first with 1.82 for numerical and real-world scheduling problems.…”
Get full text
Get full text
Get full text
article -
4
Optimal scheduling algorithm for residential building distributed energy source systems using Levy flight and chaos-assisted artificial rabbits optimizer
Published 2023“…Based on the average Friedman’s ranking test values, the proposed algorithm stands first with 1.82 for numerical and real-world scheduling problems. …”
-
5
An Improved Genghis Khan Optimizer based on Enhanced Solution Quality Strategy for Global Optimization and Feature Selection Problems
Published 2024“…Feature selection (FS) is the activity of defining the most contributing feature subset among all used features to improve the superiority of datasets with a large number of dimensions by selecting significant features and eliminating redundant and irrelevant ones. Therefore, this process can be seen as an optimization process. …”
Get full text
-
6
Comparative analysis of metaheuristic load balancing algorithms for efficient load balancing in cloud computing
Published 2023“…This paper provides a comparative analysis of various metaheuristic load balancing algorithms for cloud computing based on performance factors i.e., Makespan time, degree of imbalance, response time, data center processing time, flow time, and resource utilization. …”
-
7
From Collatz Conjecture to chaos and hash function
Published 2023“…The effectiveness and dependability of the proposed hash function are evaluated by comparing it with two well-known hash algorithms, namely SHA-3 and SHA-2, as well as several other Chaos-based hash algorithms. …”