Inspired by the natural phenomenon of multiplication of biological population, a population multiplication particle swarm optimization (PMPSO) is presented. The proposed algorithm (PMPSO) has four phases of migration, selection, elimination and reproduction, evolution. Using searching optimal model of PSO in the migration phase; introducing LEVEL SET theory dividing population to be able to fac...

this paper presents a biogeography-based optimization (bbo) algorithm to solve the economic loaddispatch (eld) problem with generator constraints in thermal plants. the applied method can solvethe eld problem with constraints like transmission losses, ramp rate limits, and prohibited operatingzones. biogeography is the science of the geographical distribution of biological species. the modelsof...

This paper uses Markov chains to analyze the search quality of a bounding case of parallel genetic algorithms with multiple populations. In the bounding case considered here, each population exchanges individuals with all the others. First, the migration rate is set to the maximum value possible , and later the analysis is reened to consider lower migration rates. In the algorithm examined by t...

Spatial mobility is a topical concept of analytical migration science, which makes it possible to assess the desires, readiness and capabilities of the population to move over certain distances and time. In the management of spatial mobility assessment requires the organization of systematic monitoring, which includes identifying the mobility potential in spatial and temporal interpretation, th...

This study presents a new method for knowledge transfer in Multi-Population Cultural Algorithms (MPCA) through agent migration. This agent-based algorithm involves having individual agents using one of multiple pre-defined knowledge algorithms to determine behavior, and using the success of it and other agents to decide on which knowledge algorithms to use next. Two or more subpopulations with ...

Migration and quality of redistribution of population across country is one of the main factors that planners take into account to control population and guide its movements to economic poles. Scientific recognition of migration phenomenon is important for managing and policy making in the country. These movements change migration pattern, in a way that along with increase in population and the...

This paper assumes each user has more than one queue, derives a new packet-dependant proportional fairness power allocation pattern based on the sum of weight capacity and the packet’s priority in users’ queues, and proposes 4 new cross-layer packet-dependant OFDM scheduling schemes based on proportional fairness for heterogeneous classes of traffic. Scenario 1, scenario 2 and scenario 3 lead r...

American Proverb: Two’s company, three’s a crowd. Genetic Algorithm Proverb: One’s a hill climber and a thousand’s random search. Population size is one of the key parameters affecting the success of genetic algorithms (GAs). Assuming a limited number of fitness evaluations (the most time-intensive factor in virtually all optimization problems), there exists an optimal population size for a gen...

Biogeography-based optimization (BBO) has shown excellent exploitation ability of the population information for simple-objective optimization problem. But if BBO is directly applied in multi-objective optimization problems (MOPs), optimal solution set gained by BBO has worse diversity and distribution. To overcome these shortcomings, a chaos migration operator is put forwards to improve the di...