[PDF] Top 20 New hyper-heuristic algorithm for gene fragment assembly
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New hyper-heuristic algorithm for gene fragment assembly
... First, new hyper-heuristic algorithm is designed and developed in terms of the computational ...The algorithm employs the heuristic operations of CRO and QIEA to increase the ... See full document
22
A stochastic local search algorithm with adaptive acceptance for high school timetabling
... selection hyper-heuristic can be defined as an easy-to-implement, easy-to-maintain and effective ‘heuristic to choose heuristics’ to solve such computationally hard ...best new solutions for ... See full document
18
A dynamic multiarmed bandit gene expression programming hyper heuristic for combinatorial optimization problems
... the algorithm performance [1], [2], ...automated heuristic design methods have emerged as a new research trend ...the algorithm design process as far as possible, to enable them to work ... See full document
12
A learning automata based multiobjective hyper heuristic
... a new learning automata based selection hyper-heuristic framework with implementation of two variants, Learning Automata based Hyper-heuristic (HH- LA) and Learning Automata based ... See full document
15
The automatic design of hyper heuristic framework with gene expression programming for combinatorial optimization problems
... meta- heuristic algorithm has an impact on algorithm performance [3], [8], [9], ...single algorithm with a unique configuration is able to perform well over all problem ...when new ... See full document
17
A new model and a hyper heuristic approach for two dimensional shelf space allocation
... genetic algorithm were used to solve the problem and experimental results on several small numerical instances showed that the genetic algorithm is able to obtain superior ...genetic algorithm ... See full document
27
Learning heuristic selection using a time delay neural network for open vehicle routing
... generation hyper-heuristic for VRP in the HyFlex framework ...selection hyper-heuristic through training how to perform heuristic selection using a set of sample ...expert ... See full document
8
Genetic and Memetic Algorithms for Sequencing a New JIT Mixed-Model Assembly Line
... a heuristic search that concentrates on less processing ...a heuristic that utilized a single-pass and composite method consisting of general assignment with priority ...Ignall algorithm) to ... See full document
13
A genetic programming hyper heuristic for the multidimensional knapsack problem
... a hyper-heuristic to generate new heuristics and survey previous work attempting to create heuristics using genetic ...for heuristic representation is not ... See full document
5
A multi objective hyper heuristic based on choice function
... existing algorithm which excels across all types of prob- lems, and (ii) there is empirical evidence showing that hybridization or combining different (meta-)heuristics/algorithms could yield improved performance ... See full document
51
A tensor based hyper heuristic for nurse rostering
... In Algorithm 5, the two sets of heuristics achieved in the previous stage together with their respective score values per heuristic are employed to run a hybrid acceptance ...selected heuristic, a ... See full document
39
A NEW HEURISTIC ALGORITHM FOR MULTIPLE TRAVELING SALESMAN PROBLEM
... a new heuristic algorithm has been proposed, and the results of the algorithm have been tested on the library ...The new algorithm that is proposed for the solution of mTSP is ... See full document
9
Heuristic Hyper-minimization of Finite State Lexicons
... The algorithm can be applied to any language description, where the biggest achievements are expected in large and complex ...presented hyper-minimization method, the transducer is reduced to 10,1% of the ... See full document
6
A tensor based selection hyper heuristic for cross domain heuristic search
... The CHeSC 2011 problem domains include Boolean Satisfiability (SAT), One Dimensional Bin Packing (BP), Permutation Flow Shop (FS), Personnel Scheduling (PS), Travelling Salesman Problem (TSP) and Vehicle Routing Prob- lem ... See full document
47
The HAP Heuristic System for Assembly-Operation Sequence Planning
... an assembly-operation sequence- planning system is to find the definition of an assembly operation, the representation of the product assembly, the representation of the assembly-operation ... See full document
11
A Review And Evaluations Of Shortest Path Algorithms
... a new generation of population, which represents a set of solutions (chromosomes) to the current ...this new generation is supposed to be better in terms of their overall fitness value as compared to the ... See full document
6
An apprenticeship learning hyper heuristic for vehicle routing in HyFlex
... expert algorithm. In the overall, ALHH performs similar to the expert algorithm on most of instances regardless of the problem class in a satisfying ... See full document
8
A grouping hyper heuristic framework: application on graph colouring
... approximation algorithm or by finding the maximal degree of the graph (the degree of the vertex with the maximum number of neighbours), as discussed in ( ¨ Ulker et ...initialisation heuristic as a part of ... See full document
26
A Branch and Bound Based Heuristic Algorithm for Minimizing Makespan in Machining Assembly Flowshop Scheduling
... a heuristic algorithm, called list-based squeezing branch and bound algo- rithm, for solving a machine-fixed, machining-assembly flowshop scheduling problem to minimize ...proposed algorithm ... See full document
10
Late Acceptance Selection Hyper heuristic for Wind Farm Layout Optimisation Problem
... proposed hyper-heuristic (LA), formed by combining simple random selection method with late acceptance method, and compare its performance with an iterated local search approach (ILS) ...genetic ... See full document
5
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