Results 41 to 50 of about 5,291 (162)
Comparison study of metaheuristics
Many existing studies have used hypothetical data to evaluate the performance of various metaheuristics in solving delivery route optimization. As empirical data impose characteristics of a particular problem, it is necessary to evaluate whether the ...
Anna Maria Sri Asih +2 more
doaj +1 more source
Este trabajo demuestra cómo se pueden disminuir el costo de transportación en las Series Nacionales de Béisbol de Cuba reduciendo la distancia total recorrida por los equipos. Se planteó el problema de optimización correspondiente para luego enfrentar su
Alejandro Rosete-Suárez +2 more
doaj
Recent advancements in computational hardware and parallel processing are driving developments in metaheuristic algorithms. These advancements help solve increasingly complex real-world optimization problems.
Houssem Rafik El-Hana Bouchekara +8 more
doaj +1 more source
Performance-based design optimization using uniform deformation theory: a comparison study
The uniform deformation theory (UDT) is a relatively new concept in structural seismic design optimization. However, the results of optimization based on this theory have not yet been compared with other optimization techniques such as metaheuristics ...
R. Karami Mohammadi, A. Ghasemof
doaj +1 more source
ASSET ALLOCATION AND PORTFOLIO OPTIMIZATION PROBLEMS WITH METAHEURISTICS: A LITERATURE SURVEY [PDF]
The main objective of Markowitz work is seeking optimal allocation of wealth on a defined number of assets while minimizing risk and maximizing returns of expected portfolio.
Bilel JARRAYA
doaj
Modeling Local Search Metaheuristics Using Markov Decision Processes
Local search metaheuristics like tabu search or simulated annealing are popular heuristic optimization algorithms for finding near-optimal solutions for combinatorial optimization problems.
Rubén Ruiz-Torrubiano +3 more
doaj +1 more source
Water-Based Metaheuristics: How Water Dynamics Can Help Us to Solve NP-Hard Problems
Many water-based optimization metaheuristics have been introduced during the last decade, both for combinatorial and for continuous optimization. Despite the strong similarities of these methods in terms of their underlying natural metaphors (most of ...
Fernando Rubio, Ismael Rodríguez
doaj +1 more source
Combinatorial optimization problems are prevalent in various domains, such as logistics, planning, and resource allocation. This study is essential to fields such as applied mathematics and computer science.
Mauricio Maca-Chagüendo +1 more
doaj +1 more source
Hybrid Metaheuristics and their Implementations
This paper studies with the design of hybrid metaheuristics and their implementations. Hybrid metaheuristics involve some major issues that could be classified as design and implementation. Combining different kinds of methods is a ordinary strategy to solve optimization problems. As we have developed a unified view of metaheuristics, that is based on
Caichang Ding, Wenxiu Peng, Weiming Wang
openaire +2 more sources

