[PDF] Top 20 Artificial immune system for solving global optimization problems
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Artificial immune system for solving global optimization problems
... of artificial immune system, it is called CTM, in the context of global optimization, the algorithm solves some function minimization problems taken from the specialized ... See full document
11
Solving constrained optimization using a T-Cell artificial immune system
... sizes for mutation operators, except for g02, due to this function has a feasible region bigger than the other ...area. For example, we plan to improve the mutation operators in order to find the ... See full document
12
Hybridizing an immune artificial algorithm with simulated annealing for solving constrained optimization problems
... Keywords: Artificial Immune System, Constrained Optimization Problem, Simulated ...bio-inspired system has call the attention of some re- searchers, the Natural Immune ... See full document
10
An immune artificial algorithm for dynamic optimization problems: a case of study
... Av. IPN No. 2508, Col. San Pedro Zacatenco M´exico D.F. 07300, M´ EXICO ccoello@cs.cinvestav.mx Abstract. In this paper, we present an algorithm inspired on the T-Cell model of the immune system, i.e., an ... See full document
10
Hybrid algorithms for solving routing problems
... lines for future research have been identified: • Different VNS schemes are to be studied, such as the Variable Neigh- borhood Decomposition Search (see Section ...neighborhood for the problem at hand, ... See full document
172
Immune algorithm for solving the smooth economic dispatch problem
... adopted for assessing effi- ciency was the number of objective function eval- uations performed by each ...approach. For having a fair comparison of the running times of all the algorithms considered in our ... See full document
6
Immune algorithm for solving the smooth economic dispatch problem
... test problems having different charac- teristics and comparisons were provided with respect to some approaches that have been reported in the specialized ... See full document
10
A Semantic Approach to 3D Information System for Solving Accessibility Problems in Cultural Heritage Domain
... Para dominios específicos, como los problemas de accesibilidad en entornos urbanos, proporciona mecanismos de extensión para enriquecer el modelo y relacionar esa información con los a[r] ... See full document
22
Solving motion planning problems
... {agpereira,mrpritt,buriol}@inf.ufrgs.br This work considers a family of motion planning problems with movable blocks. Such problem is defined by a maze grid occupied by immovable blocks ( walls ) and free squares. ... See full document
2
Models and algorithms for solving packing problems in logistics
... related problems: first, how many dif- ferent shipper types to keep in store, and second, what the dimensions of these shipper types should be in order to minimize the total transportation cost of the shippers ... See full document
178
Exploring Hyper Heuristic Approaches for Solving Constraint Satisfaction Problems
... Related Background 2.1 Constraint Satisfaction Problems 2.1.1 Definitions 2.1.2 Formal definition of C S P 2.2 Solution Methods for C S P 2.2.1 Local Search Algorithms 2.2.2 Systematic A[r] ... See full document
279
Memetic differential evolution for constrained numerical optimization problems
... The expected behavior of β is to obtain values ≈ 1 in the first applications of the LSO and decrease it with each LSO usage, until values ≈ 0 are reached. Figure 6.1 shows the possible values that the proposed measure β ... See full document
139
A Neighborhood Operator for Continuous Multi-Objective Optimization Problems
... combinatorial optimization. However, in continuous optimization problems, the lack of neighborhood definitions makes them difficult to design and ...multi-objective optimization, we use the ... See full document
7
Constricted Particle Swarm Optimization based Algorithm for Global Optimization
... Swarm Optimization (PSO) is a bioinspired meta-heuristic for solving complex global optimization ...neighborhoods for dispersing the swarm whenever a premature convergence (or ... See full document
7
Solving Problems in Food Engineering
... discipline for food science students because they are more used to qualitative rather than to quantitative descrip- tions of food processing ...practice solving food engineering ... See full document
297
TítuloAn efficient MP algorithm for structural shape optimization problems
... Preprint of the paper "An efficient MP algorithm for structural shape optimization problems" F.. Editors; WIT Press, Southampton, UK.[r] ... See full document
11
Efficient Hill Climber for Constrained Pseudo-Boolean Optimization Problems
... For k-bounded pseudo-Boolean functions where each vari- able appears in at most a constant number of subfunctions, it has been theoretically proven that the neighborhood of a so- lution can be explored in constant ... See full document
8
Automatic design of Ant Colony Optimization for permutation problems
... exist for an optimization prob- ...appear for other optimization ...size for the candidate list into the construction phase and the local search phase ...created for generalize ... See full document
155
Models and Algorithms for Deterministic and Stochastic Optimization Problems
... location problems look for sequential location/allocation decisions that fulfil certain coverage levels of demand in some places at each time ...case, for instance, for the location of ... See full document
199
Solving parallel problems by OTMP model
... proposed [11 ℄. Many assignment poliies are also possible: blok, yli-blok, guided or dynami. The third ase was studied in the previous setion. But the fat that the number of available proessors is larger than the number ... See full document
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