The Empirical Study of the Schema Theory of Genetic Algorithm Based on 3-satisfiability Problem [PDF]
Yuan Zhang, Bingfen Li
openalex +4 more sources
Multi-objective database queries in combined knapsack and set covering problem domains
Database queries are one of the most important functions of a relational database. Users are interested in viewing a variety of data representations, and this may vary based on database purpose and the nature of the stored data.
Sean A. Mochocki+3 more
doaj +1 more source
Evolutionary computing (EC) is an area of computer sciences and applied mathematics covering heuristic optimization algorithms inspired by evolution in Nature.
Alexander V Spirov+1 more
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Metaheuristic Approaches for One-Dimensional Bin Packing Problem: A Comparative Performance Study
Nature-inspired metaheuristic algorithms have steadily gained popularity over the last two decades. They have been applied to a plethora of optimization problems both in continuous and combinatorial domains. In this paper, the one-dimensional bin packing
Chanalea Munien+5 more
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A Variational Beam Model for Failure of Cellular and Truss‐Based Architected Materials
Herein, a versatile and efficient beam modeling framework is developed to predict the nonlinear response and failure of cellular, truss‐based, and woven architected materials. It enables the exploration of their design space and the optimization of their mechanical behavior in the nonlinear regime. A variational formulation of a beam model is presented
Konstantinos Karapiperis+3 more
wiley +1 more source
Accelerating genetic schema processing through local search [PDF]
peer reviewedAchieving a balance between the exploration and exploitation capabilities of genetic algorithms is a key factor for their success in solving complicated search problems.
Aref, Ibrahim A.+2 more
core +1 more source
Optimal coverage multi-path scheduling scheme with multiple mobile sinks for WSNs [PDF]
Wireless Sensor Networks (WSNs) are usually formed with many tiny sensors which are randomly deployed within sensing field for target monitoring. These sensors can transmit their monitored data to the sink in a multi-hop communication manner.
Gao, Yu+4 more
core +1 more source
Adaptive probabilities of crossover and mutation in genetic algorithms
In this paper we describe an efficient approach for multimodal function optimization using genetic algorithms (GAs). We recommend the use of adaptive probabilities of crossover and mutation to realize the twin goals of maintaining diversity in the ...
M. Srinivas, L. Patnaik
semanticscholar +1 more source
A Building-Block Favoring Method for the Topology Optimization of Internal Antenna Design
This paper proposes a new design technique for internal antenna development. The proposed method is based on the framework of topology optimization incorporated with three effective mechanisms favoring the building blocks of associated optimization ...
Yen-Sheng Chen
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Optimization Design of Computer Network Reliability Based on Genetic Algorithms
With the acceleration of the process of information society, not only the user's computer communication networks is increasing, but also the rapid expansion of computer communication network connecting regional scale and network connections.
L.J. Liu
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