Multi-objective optimisationSummary: Figure-ground segmentation is a crucial preprocessing step in areas of computer vision and image processing. As an evolutionary computation technique, genetic programming (GP) can evolve algorithms automatically for complex problems and has been introduced for image ...
A generic, optimal feature extraction method using multi-objective genetic programming (MOGP) is presented. This methodology has been applied to the well-known edge detection problem in image processing and detailed comparisons made with the Canny edge detector. We show that the superior performance ...
A decomposition-based multi-objective genetic programming hyper-heuristic approach for the multi-skill resource constrained project scheduling problem[J]. Knowledge-Based Systems, 2021, 225: 107099. ^Myszkowski P B, Skowroński M E, Sikora K. A new benchmark dataset for multi-skill resource-...
Genetic programmingRFID networkmulti-objective optimizationload balancingWith the widespread application of RFID tags, the layout of RFID readers under guaranteed the rate of coverage, RFID network load balance and communication quality which becomes a major focus of current research on RFID network. ...
Fig. 8. Multi-objective genetic programming algorithm for the optimization of the HEMS strategy. The values of the parameters of the inner nodes are generated randomly when a tree is initialized. 5. Case study In this section, the data used for the simulation and the strategy optimization are...
Additionally, genetic algorithms are less susceptible to the shape or continuity of the Pareto front (e.g., they can easily deal with discontinuous or concave Pareto fronts), which are the two issues for mathematical programming techniques. In general, for multiobjective problems, genetic algorithms...
The goal of an optimization model is to identify the optimal values for decision variables with the objective of either maximizing or minimizing an objective function. When there is more than one objective function involved, finding the optimum solution(
Though ROCCH maximization problem seems like a multi-objective optimization problem (MOP), the special characters make it different from traditional MOP. In this work, we will discuss the difference between them and propose convex hull-based multi-objective genetic programming (CH-MOGP) to solve ...
“Application of Multiobjective Genetic Programming to the Design of Robot Failure Recognition Systems,” IEEE Transactions on Automation Science and Engineering... Y Zhang,PI Rockett - 《IEEE Transactions on Automation Science & Engineering》 被引量: 8发表: 2009年 Pixel Statistics and False Alarm ...
1) multiobjective genetic programming 多目标遗传编程 1. A novelmultiobjective genetic programming,which searching aim is to minimize the sum of squares of deviations,the complexity and the maximal dynamic deviation,was put forward to model the main steam temperature system of powe. ...