Add to ORKGAbstract:- Meta-heuristics like evolutionary algorithms require extensive numerical experiments to adjust their capabilities of solving decision making problems. Evolutionary algorithm can be applied for finding solution in distributed computer systems. Reliability and the load balancing are crucial factors for a quality evaluation of distributed systems. Load balancing of the Web servers can be implemented by reduction of the workload of the bottleneck computer what improves both a performance of the system and the safety of the bottleneck computers. An evolutionary algorithm based on a tabu search procedure is discussed for multi-criteria optimization of distributed systems A tabu mutation is applied for minimization the workload of the b...
Evolutionary algorithms, simulated annealing (SA), and tabu search (TS) are general iterative algori...
Three parallel physical optimization algorithms for allocating irregular data to multicomputer nodes...
This paper presents a new approach for parallel tabu search based on adaptive parallelism. Adaptive ...
Abstract:- Load balancing of the Web bank servers can be implemented by minimization of the workload...
Abstract:- Decision making for complex systems is based on multi-criterion-optimization. A decision ...
Load balancing of the Web bank servers can be implemented by minimization of the workload of the bot...
In the proposed algorithm, several single population genetic algorithms with different cross-over an...
Evolutionary Algorithms (EAs) became a powerful tool for environments where an optimization is neede...
The paper presents an analysis of the use of optimization algorithms in parallel solutions and distr...
Most real optimization problems often involve multiple objectives to optimize. In single-objective o...
The ubiquitous presence of distributed systems has drastically changed the way the world interacts, ...
Evolutionary algorithms and metaheuristics are widely used to provide efficient and effective approx...
In this paper, the Evolutionary Simulated Annealing (ESA) algorithm, its distributed implementation ...
Evolutionary algorithms are successively applied to wide optimization problems in the engineering, m...
AbstractWe present a multi-heuristic evolutionary task allocation algorithm to dynamically map tasks...
Evolutionary algorithms, simulated annealing (SA), and tabu search (TS) are general iterative algori...
Three parallel physical optimization algorithms for allocating irregular data to multicomputer nodes...
This paper presents a new approach for parallel tabu search based on adaptive parallelism. Adaptive ...
Abstract:- Load balancing of the Web bank servers can be implemented by minimization of the workload...
Abstract:- Decision making for complex systems is based on multi-criterion-optimization. A decision ...
Load balancing of the Web bank servers can be implemented by minimization of the workload of the bot...
In the proposed algorithm, several single population genetic algorithms with different cross-over an...
Evolutionary Algorithms (EAs) became a powerful tool for environments where an optimization is neede...
The paper presents an analysis of the use of optimization algorithms in parallel solutions and distr...
Most real optimization problems often involve multiple objectives to optimize. In single-objective o...
The ubiquitous presence of distributed systems has drastically changed the way the world interacts, ...
Evolutionary algorithms and metaheuristics are widely used to provide efficient and effective approx...
In this paper, the Evolutionary Simulated Annealing (ESA) algorithm, its distributed implementation ...
Evolutionary algorithms are successively applied to wide optimization problems in the engineering, m...
AbstractWe present a multi-heuristic evolutionary task allocation algorithm to dynamically map tasks...
Evolutionary algorithms, simulated annealing (SA), and tabu search (TS) are general iterative algori...
Three parallel physical optimization algorithms for allocating irregular data to multicomputer nodes...
This paper presents a new approach for parallel tabu search based on adaptive parallelism. Adaptive ...