In Multi-Channel Multi-Radio Wireless Mesh Networks (MCMR-WMN), finding the optimal routing by satisfying the Quality of Service (QoS) constraints is an ambitious task. Multiple paths are available from the source node to the gateway for reliability, and sometimes it is necessary to deal with failures of the link in WMN. A major challenge in a MCMR-WMN is finding the routing with QoS satisfied ...

The fuel consumption of a simulation model of a real Hybrid Electric Vehicle is optimized on a standardized driving cycle using metaheuristics (PSO, ES, GA). Search space discretization and metamodels are considered for reducing the number of required, time-expensive simulations. Two hybrid metaheuristics for combining the discussed methods are presented. In experiments it is shown that the use...

We describe a hybrid meta-heuristic algorithm for combinatorial optimization problems with a specific reference to the travelling salesman problem (TSP). The method is a combination of a genetic algorithm (GA) and greedy randomized adaptive search procedure (GRASP). A new adaptive fuzzy a greedy search operator is developed for this hybrid method. Computational experiments using a wide range of...

In this paper, we propose a hybrid model of the fuzzi-ed Kohonen's Self-Organizing Map and the GA with numerical chromosomes, and automatic fuzzy rule extraction method that uses our model. It is shown that our hybrid model is superior to both of the individual models in cases where there is a tendency for data to change dynamically and quickly.

In this paper, we propose a hybrid algorithm combining two different metaheuristic methods, “Genetic Algorithms (GA)” and “Sperm Swarm Optimization (SSO)”, for the global optimization of multimodal benchmarks functions. The proposed Hybrid Genetic Algorithm Sperm (HGASSO) operates based on incorporates concepts from GA SSO in which generates individuals new iteration not only by crossover mutat...

This paper considers a problem in which orders are processed by either one of two parallel machines and delivered by a single delivery truck to one customer area. Coordination among production stage and distribution stage in the supply chain to achieve ideal overall system performance has become more practical and has received a lot of attention from both industry practitioners and academic res...

In order to obtain an adequate description of risk aversion for insuring critical path problem, this paper develops a new class of two-stage minimum risk problems. The first-stage objective function is to minimize the probability of total costs exceeding a predetermined threshold value, while the secondstage objective function is to maximize the insured task durations. For general task duration...

This paper describes the use of a genetic algorithm (GA) to find parameter-values for trading agents that operate in virtual “e-marketplaces”, where the rules of the marketplaces are also under simultaneous control of the GA. The aim is to use the GA to automatically design new agent-based e-marketplaces that are more efficient than markets designed by (or populated by) humans. Das et al. (2001...