Performance of the heuristic search algorithm
A Heuristic Search Algorithm for Flow-Shop Scheduling
... Admissible heuristic function, dominance, flow-shop scheduling, optimal heuristic search algorithm Received: October 25, 2007 This article describes the development of a new intelligent ...
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Hybrid Meta Heuristic Search Algorithm For High Dimensional Data Transmission
... the performance of turbo encoding ...meta-heuristic search algorithm by combining renowned Genetic Algorithm (GA) and Group Search Optimizer (GSO) in the name of hybrid GSO ...
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Local Optima Networks, Landscape Autocorrelation and Heuristic Search Performance
... the performance of a heuristic search algorithm on a given instance ...the performance of the two selected search algorithms: SA and ...each algorithm and instance class, ...
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Scheduling of Flexible Manufacturing Systems using Intelligent heuristic search algorithm (IHSA*)
... intelligent heuristic search algorithm for solving flow shop problem with two or three machine and arbitrary number of ...the algorithm to reduce the backtracking and to improve ...
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Performance of Arithmetic Crossover and Heuristic Crossover in Genetic Algorithm Based on Alpha Parameter
... Genetic algorithm (GA) is a heuristic search algorithm based on the idea of natural selection that occurs in the process of evolution and genetic ...genetic algorithm is a crossover ...
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Applying Heuristic Search for Distributed Software Performance Enhancement
... 5. Conclusions In this paper the software reengineering research area has been extended to include performance improvement of existing distributed software. To achieve this first a per- formance assessment ...
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An Effective Meta-Heuristic Cuckoo Search Algorithm for Test Suite Optimization
... Through statically analysis, we can check whether the performance of all the algorithms is similar or not. As the theory of ANOVA states that for the larger value of com- puted value of F proves its better ...
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Economic load dispatch problem using Heuristic gravitational search algorithm
... Gravitational search algorithm has been proposed by Rashedi et ...Gravitational search algorithm gives better performance than other optimization ...Gravitational search ...
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A comprehensive and heuristic approach for Personalized Web Search using Greedy Algorithm
... related search result based on their behavior or based on the user ...relevant search by using these approaches the privacy of the user may ...greedy algorithm to prevent the user data and provide ...
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Local Optima Networks, Landscape Autocorrelation and Heuristic Search Performance
... six different instance groups. For each group, 100 instances were generated for a total of 600 QAP instances that will be used in our study. 2.2 Local Optima Networks In order to define the local optima network of the ...
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Discrete Design of Urban Road Networks with Meta- Heuristic Harmony Search Algorithm
... Kutay ÖZAYDIN*** ABSTRACT An important factor affecting the performance of PVDs is their discharge capacity. The effect of factors such as, the hydraulic gradient, lateral stresses on a PVD, the type of soil in ...
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A novel meta-heuristic optimization algorithm inspired by group hunting of animals: Hunting search
... the performance of HuS is compared with five famous evolutionary algorithms through minimization of a high-dimensional Griewank function and other standard benchmark problems available in the ...presented ...
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Non convex Economic Dispatch with Heuristic Load Patterns using Harmony Search Algorithm
... harmony search algorithm for solving economic load dispatch by taking into account of load pattern ...the performance of the proposed HSA appears to be an efficient and powerful tool to solve highly ...
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Finding minimum gene subsets with heuristic breadth-first search algorithm for robust tumor classification
... Conclusions Many machine learning and statistical algorithms for GEP-based tumor classification are available, but many of these methods might suffer from the problems of over-fitting and gene selection bias because the ...
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Heuristic search to the capacitated clustering problem
... their search to the feasible region only, while only few approaches including GRASP-PR [10], GevPR-HMP [31], GQAP [31], and TS SO [29] are allowed to visit infeasible ...in search algorithms that examine ...
A tensor based selection hyper heuristic for cross domain heuristic search
... the heuristic space is more or less the same regardless of the time allocated to t p for a given problem ...the algorithm are included and the framework is allowed to run until the maximum allowed time is ...
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Performance of Buckets versus Min-Heap in the A* Search Algorithm
... popular search algorithms such as Dijkstra’s algorithm and A* algorithm have also been modified to serve this ...the performance of the A* search ...A* algorithm, the use of ...
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LAO∗: A heuristic search algorithm that finds solutions with loops
... Like an MDP, a state-space search problem is defined by a set of states (including a start state and a set of goal states), a set of actions that cause state transitions, and a cost func[r] ...
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THE TWO major steps in applying any heuristic search algorithm
... This terminology leads to the taxonomy illustrated in Fig. 1. Some authors have introduced a different terminology. Angeline [2] distinguished absolute and empirical rules cor- responding to uncoupled and tightly coupled ...
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Congestion Management In Deregulated Power System Using Heuristic Search Algorithm
... 1,2,3 UG Student, EEE Department, PESITM, Shivamogga, Karnataka, India 4 Assistant Professor, EEE Department, PESITM, Shivamogga, Karnaataka, India ABSTRACT The impact of restructuring in the field of communication sector ...
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