[PDF] Top 20 Solving Quadratic Assignment Problem Using Water Cycle Optimization Algorithm

... The Quadratic Assignment Problem (QAP) is one of combinatorial optimization problems that, in many firms have done various researches in order to devote some facilities to some ...is ... See full document

... b) problem specific ...colony optimization)[20], particle swarm optimization[19], artificial bee colony algorithm[2], differential evolution[29], migrating birds ...Colony Optimization ... See full document

... for solving QAPs and Connolly (1990) refined ...for solving QAPs can be found in (Paul, 2011; Peng et ...the problem is of higher complexity, the number of iterations needed increases, and in that ... See full document

... layout problem (FLP), which is called as multi-objective ...For solving and optimizing two or more objectives, two methods are ...as quadratic assignment problem (QAP) are considered ... See full document

... (BB) algorithm is the most efficient [11, ...BB algorithm is of size 36 [4]. Solving QAP instances of size 20 was impossible before ...BB algorithm of Brixius and Anstreicher [14] solved the ... See full document

... for solving their models in order to select a portfolio with a fuzzy random ...in solving the model for portfolio ...for solving portfolio optimization problems, in which GA was applied in ... See full document

... The Quadratic assignment problem (QAP) is in simplest form concerned with locating facilities on locations, such that total transportation costs are ...this problem class has attracted active ... See full document

... search algorithm premised on the evolutionary ideas of natural selection and ...solve problem, it consistently outperforms other traditional methods in most of the problems ...in optimization, GAs ... See full document

... previous water-based ...and using path-depth ...a problem-dependent stage that can be customized according to the problem specifications and ...continuous optimization problems ... See full document

... find optimal or near optimal solutions for the QAP. These heuristics range from simple iterative improvement procedures to metaheuristic implementations, such as Ant Colony Optimization [22,23], Genetic ... See full document

... The Quadratic Assignment Problem (QAP) is a combinatorial optimization problem; it belongs to the class of NP-hard ...This problem is applied in various fields such as hospital ... See full document

... For solving the GP-QAP, various optimization tech- niques can be applied, including the exact and heu- ristic ...For problem instances that cannot be easily solved, heu- ristic algorithms are ... See full document

... lies on it. This operation creates some new ones to this row or column. If still a complete optimal assignment is not achieved in this new matrix, then use step 4 and 3 iteratively. By repeating the same procedure ... See full document

... proposed algorithm is suitable for the at system architecture in LTE system, and minimizes the required information exchange among Evolved Node B (eNBs) by the usage of fuzzy ...handover algorithm to avoid ... See full document

... Hamiltonian cycle of the weighted graph problem is studied to find the best route in minimizing the total objective ...the problem is solved by arranging the nodes in a cyclic order in such a way ... See full document

... The improper adjustment of algorithm-specific parameters either increases the computational effort or yields the local optimal solution (Rao & Patel, 2012).Aggregate foragers in the set of all animals, for ... See full document

... the algorithm has been devel- oped for temperature values depending on the thermal coefficients, but for the present simulations the thermal coefficients [7, 8] are assumed to be constant for the considered ... See full document

... The book consists of forty chapters which are grouped into seven major parts: mathematical algorithms, sorting, searching, string processing, geomet- ric algorithms, graph algorithms and advanced topics. A major goal in ... See full document

... In 1975, Professor John Holland [9] suggested an attractive class of computational models, called Genetic Algorithms (GA) , that replicates the human genetic process to solve problems. The mechanism under GA have been ... See full document

... this problem, one for the number of machines and the other for the number of jobs which each machine has to ...This problem remains one of the most discussed problems, with researchers from all over the ... See full document