large optimization problem solving
Hybrid Algorithm of Adaptive Inertia Weight Particle Swarm and Simulated Annealing
... in solving large scale combinational optimization problem, considering the balance that inertia can control between local search ability and global search ability, the paper proposed an ...
6
Solving economic dispatch problem using particle swarm optimization
... 15 In an interconnected power system, the objective is to find the real power scheduling of each power plant in such way to minimize the operating cost. This means that the generator‟s real and reactive powers are ...
38
Enhanced Bean Optimization Algorithm for Solving Reactive Power Problem
... Y = y y y y (10) where n is determined by the scale of problem .Bean group is comprises of large number of beans. The size of the bean group can be attuned depending upon realistic problems. In adding to ...
8
Modified Ant Colony Optimization for Solving Traveling Salesman Problem
... for solving the Traveling Salesman Problem (NP- hard problem) using pheromone of ant colony depends on the pheromone and path between ...a problem in theoretical computer science which is very ...
5
A Location Problem with the A-distance in a Competitive Environment
... two solving method to solve the examples of the ...are large, we set 5000 seconds to the upper bound of its computational time for each ...numerical optimization for constrained problem ...
6
Human performance and strategies while solving an aircraft routing and sequencing problem: an experimental approach
... zation problem, a problem type found in many real-world domains where resource allocation is critical, including air traffic control (Stergianos et ...of solving combinations of choices, and the ...
17
Population-based optimization algorithms for solving the travelling salesman problem
... NP-complete problem, which has extremely large search spaces and is very difficult to solve (Louis & Gong, ...for solving TSP usually result in exponential computational ...and large ...
36
Using Facebook as a Cloud Platform for Solving Numerical Optimization Problem
... The high computational cost of complex engineering optimiza- tion problems has motivated the development of parallel opti- mization algorithms. As using a super computer appears very costly. So it was necessary to use ...
5
A Continuous Approach to Binary Quadratic Problems
... for solving binary quadratic pro- gramming ...original problem is converted into an equiva- lent continuous optimization problem by using NCP (Nonlinear Comple- mentarity Problem) ...
13
Newton based homotopy optimization method for solving global optimization problem
... first optimization method is solved using computer was introduced by Gauss which is the Gaussian elimination ...years, optimization has received enormous attention and it is an active area in the field of ...
19
Particle swarm optimization for solving DNA sequence design problem
... In DNA computing field, one of the major concerns is reliability. The reliability of the computation is determined by whether the oligonucleotides can be hybridized in a predetermined way. In DNA computing, information ...
48
Solving Economic Load Dispatch Using A Novel Method Based On PSO Algorithm And GAMS Software
... basic problem in applying power ...constraints solving this problem is complicated ...solve large scale problem nor needs a long ...this problem regarding their mathematical ...
6
Metaheuristics for Solving Facility Location Optimization Problem
... location problem, also known as location analysis, is a branch of operations research and computational geometry concerned with the optimal placement of facilities to minimize resources such as cost, time, ...
5
Accelerating Cross-Validation in Multinomial Logistic Regression with $\ell_1$-Regularization
... A sensitive point which should be noted is the convergence problem of the algorithm for solving the present optimization problem. In Glmnet, a specialized version of coordinate descent methods ...
30
Usage of SDP Relaxation in Some GNSS Navigation Problems
... non-convex optimization problem. The first problem considered in this paper consists in the development of the efficient numerical approach to the attitude ...squares problem, provided the ...
11
Optimization Algorithms Incorporated Fuzzy Q-Learning for Solving Mobile Robot Control Problems
... Colony optimization algorithms. Comparing these algorithms on solving Track Backer-Upper problem –a reinforcement fuzzy control problem– shows that Artificial Bee Colony Optimization ...
5
Solving nonlinear optimization problems with bipolar fuzzy relational equation constraints
... solution set of a system of bipolar fuzzy relational equations, can be reformulated as a system of 0-1 mixed integer inequalities. Consequently, such a type of optimization problems can be handled within the ...
10
Hybridizing GWO with PSOGSA for Solving Global Optimization and ELD Problem
... Fittest solution in grey wolves hierarchy herd’s mathematical modulation is, alpha (α).As followed by the social hierarchical rule, Beta (β) the second best solution is represented by beta (β) and delta (δ) is the third ...
7
TUTORIALS ON AFRICAN BUFFALO OPTIMIZATION FOR SOLVING THE TRAVELLING SALESMAN PROBLEM
... Buffalo Optimization is a newly designed metaheuristic optimization algorithm inspired by the migration of African buffalos from place to place across the vast African forests, deserts and savannah in ...
9
Automatic Class Timetable Generation using a Hybrid Genetic and Tabu Algorithm
... to solving the problem of timetable ...the problem of timetable generation for the Computer Genetic Algorithms help in finding multiple optimal solutions in one iteration but they can get stuck at ...
7