An immune algorithm for numeric function optimisation
Karaboğa, Nurhan
Kalınlı, Adem
Karaboğa, Derviş
10th Turkish Symposium on Artificial Intelligence and Neural Networks TAINN 2001 (1 - 04 Haziran 2001)
An Evolutionary Genetic Algorithm for Optimization of Distributed Database Queries
Sevinc, Ender; Coşar, Ahmet (2011-05-01)
High-performance low-cost PC hardware and high-speed LAN/WAN technologies make distributed database (DDB) systems an attractive research area where query optimization and DDB design are the two important and related problems. Since dynamic programming is not feasible for optimizing queries in a DDB, we propose a new genetic algorithm (GA)-based query optimizer (new genetic algorithm (NGA)) and compare its performance with random and optimal (exhaustive) algorithms. We perform experiments on a synthetic data...
An algorithm for multiscale license plate detection and rule-based character segmentation
Karalı, Ali Onur; Ulusoy, İlkay; Department of Electrical and Electronics Engineering (2011)
License plate recognition (LPR) technology has great importance for the development of Intelligent Transportation Systems by automatically identifying the vehicles using image processing and pattern recognition techniques. Conventional LPR systems consist of license plate detection (LPD), character segmentation (CS) and character recognition (CR) steps. Successful detection of license plate and character locations have vital role for proper LPR. Most LPD and CS techniques in the literature assume fixed dist...
An Evolutionary Algorithm for Finding Efficient Solutions in Multi-Attribute Auctions
Koksalan, Murat; Karakaya, Gülşah (2014-05-01)
There is a growing interest in electronic auctions. Many researchers consider a single-attribute, although auctions are multi-attribute in nature in practice. Addressing multiple attributes increases the difficulty of the problem substantially. We develop an evolutionary algorithm (EA) for multi-attribute multi-item reverse auctions. We try to generate the whole Pareto front using the EA. We also develop heuristic procedures to find several good initial solutions and insert those in the initial population o...
An incremental constraint satisfaction algorithm for dynamic reconfiguration
Entekhabi, Sina; Karataş, Ahmet Serkan; Oğuztüzün, Mehmet Halit S. (null; 2017-05-08)
Dynamically reconfigurable systems are able to respond to changes in their operational environment by reconfiguring themselves automatically. Dynamic software product lines are dynamically reconfigurable systems with an explicit model of variability, which plays a key role in the reconfiguration process. In our work we use feature models for modeling variability. Features are mapped to the system's components that realize them. The feature model corresponds to a constraint logic program, and determines the ...
An evolutionary algorithm for multiple criteria problems
Soylu, Banu; Köksalan, Murat; Department of Industrial Engineering (2007)
In this thesis, we develop an evolutionary algorithm for approximating the Pareto frontier of multi-objective continuous and combinatorial optimization problems. The algorithm tries to evolve the population of solutions towards the Pareto frontier and distribute it over the frontier in order to maintain a well-spread representation. The fitness score of each solution is computed with a Tchebycheff distance function and non-dominating sorting approach. Each solution chooses its own favorable weights accordin...
N. Karaboğa, A. Kalınlı, and D. Karaboğa, "An immune algorithm for numeric function optimisation," Antalya, Türkiye, 2001, p. 111, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/83227.