[PDF] Top 20 N-Queens Problem Optimization Using Various Memetic Algorithms
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N-Queens Problem Optimization Using Various Memetic Algorithms
... The below graphs show the results of applying the MA for the optimization of N-Queens problem. In this research paper the tables show that MA gives best results in comparison of GA in terms of ... See full document
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Optimization of Economic Load Dispatch Problem Using Various Algorithm Techniques
... The DE algorithm is a stochastic population based algorithm similar to Genetic Algorithms (GA) using the operators; crossover, mutation and selection. The key dissimilarity between GA and DE is that GAs ... See full document
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Comparing Performance of Various Optimization Algorithms for Effective Information Retrieval – A Review
... introduced various optimization algorithms in the field of Information Retrieval like Swarm Intelligence and Genetic ...These algorithms are inspired by nature to solve the IR ...these ... See full document
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Using Intelligent Computational Methods for Optimizing Niching Method
... computed using Niching method [1]. In this paper, memetic method is used for increase of convergence speed and also the increasing rate of parti- cles’ diversity in Niching method, as two assessment factors ... See full document
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A Survey of Various Algorithms to Detect Black Hole Attack in Wireless Sensor Network
... challenging problem which can be detect and prevents by various ...natural optimization techniques for detection and prevention of black hole ...detection using soft computing ...detection ... See full document
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Optimization of Examination Timetable Using Harmony Search Hyper-Heuristics (HSHH)
... timetabling problem has been much studied and a wide variety of approaches have been taken across a variety of associated problem ...genetic algorithms[22,23], ant colony optimization , ... See full document
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A Multi-Objective Memetic Optimization Approach to the Circular Antenna Array Design Problem
... competitor algorithms (statistical significance was measured using unpaired t-tests [23]), the performance improvement is mainly reflected in the domain of side lobe level ...the various components ... See full document
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Linear Antenna Array Design with Use of Genetic, Memetic and Tabu Search Optimization Algorithms
... classical optimization techniques need a starting point that is reasonably close to the final solution, or they are likely to be stuck in a local ...classical optimization techniques, the heuristic ... See full document
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Solving Asymmetric Travelling Salesman Problem using Memetic Algorithm
... Salesman Problem is a problem that is not deterministic and hard and quite known in combinatorial optimization studied in theory based computer science and operation research ...The various ... See full document
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Optimization Algorithms for the Minimum-Cost Satisability Problem.
... Within eclipse, various “engines” have been built to optimize the search process for time and space. There are many factors that can influence the performance of eclipse. These include (1) lower-bounding ... See full document
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A Constraints Scattered Memetic Algorithm for Constrained Optimization Problem
... scattered memetic algorithm (CSMA), which integrates a novel constraints scattered genetic algorithm (CSGA) and the traditional interior point method, is proposed for solving constrained optimization ...a ... See full document
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One-Dimension Multi-Objective Bin Packing Problem using Memetic Algorithm
... Any problem that involves the identification of optimal cost (minimum or maximum) is called optimization ...for optimization problem is called optimization ...a problem can be ... See full document
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A Solution to the N-Queens Problem Using Biogeography-Based Optimization
... The N-queens puzzle is one of the classic problems with a long history ...The N-queens puzzle is the problem of putting N chess queens on a ג chessboard such that none of ... See full document
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A Deregulated Optimal Power System Using Flexible Real Coded Biogeography-Based Optimization
... Biogeography-based optimization (BBO) is a new optimization algorithm, and, thus far, it has been used in power system ...to optimization was first presented in 10], and it describes how a natural ... See full document
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Algorithms and Data Structures Niklaus Wirth pdf
... of n, and they allow the classification of sorting algorithms into primitive, straight methods (n2) and advanced or "logarithmic" methods ...the n 2 methods from the n×log(n) ... See full document
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Coevolving memetic algorithms: A review and progress report
... this problem (Shifted-Trap) was designed to be more “difficult” than the first for the COMA algorithm, by making patterns which were optimal in one sub-problem, sub-optimal in all ... See full document
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Using Simulated Annealing and Ant Colony Optimization Algorithms to Solve the Scheduling Problem
... our problem, and f as the real valued cost function defined on members of ...The problem[17] is to find a solution or state, i ∈ S, which minimizes f over ...descent algorithms, like the hill climbing ... See full document
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Complexity of n-Queens completion (extended abstract)
... We thank Jeff Erickson for raising the question of the com- plexity of (a slight variant of) n -Queens Completion [Er- ickson, 2014] and Stanislav ˇ Zivn´y for bringing his post to our attention by a ... See full document
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IMPLEMENTATION OF PARALLEL ARTIFICIAL BEE COLONY ALGORITHM ON VEHICLE ROUTING PROBLEM
... Artificial Bee Colony algorithm (ABC) was initially published by Karaboga in 2005 as a technical report for numerical optimization problems. Its development was inspired by simulating the intelligent foraging ... See full document
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