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Sine cosine algorithm (SCA) is one of the most recent population-based optimization algorithms proposed for solving optimization problems. In the present study, in order to improve the performance of this algorithm, a new weighted update position mechanism (WUPM) was employed instead of the position update method of search agents in SCA. In the proposed method, in addition to a position and fitness,...
Wireless Sensor Network (WSN) is an emerging application that has proved to be very effective due to its wide application and so has become very prominent various industries and research WSN's life is improved through clustering-based routing. Operation and network life are controlled by a large deployed sensor network whose major characteristic is self-organization and energy efficiency. The area...
This paper aims to introduce an algorithm by performing three modifications in the GCS algorithm in order to enhance the rate of convergence using globally best solutions. The Cuckoo Search Algorithm, CSA, which has developed recently, is an optimization method that uses random equations for search engine and therefore the rate of convergence is considerably low. The improved algorithm developed,...
Phenomenal increase in load and cost of electricity has raised many challenges ranging from security of the system to the economics of generation. For economic operation of power system, the solution to Unit Commitment problem is necessary. Unit Commitment aims to schedule the generation to meet the load demands at the most economical rate for the next few hours. It decides that which unit should...
This paper proposed a novel bio-inspired optimizer, namely the root system growth algorithm (RSGA), which adopts the root foraging, memory and communication, and auxin-regulated mechanisms of the root system. When tested against benchmark functions, the RSGA markedly outperforms the CMA-ES, PSO, GA, and DE algorithms in terms of accuracy, robustness and convergence speed.
An improved QPSO algorithm based on entire search history (ESH-QPSO) is proposed. ESH-QPSO is an integration of the entire search history scheme and a standard quantum-behaved particle swarm optimization (QPSO). It guarantees that all updated positions are not revisited before, which helps prevent premature convergence. The entire search history scheme partitions the continuous search space into sub-regions...
Humanoid robot motion imitation is a problem of controlling robot balance with given body motion. It is a simple method to program robot motion because many robot motion editing tools do not consider balance control. Thus, this paper proposes a concept that a RGB-D camera such as Kinect is used to capture human motion and apply the captured motion on a humanoid robot. A genetic algorithm is used to...
A novel Ant inspired method is introduced in which both positive and negative pheromones are used to guide the ant's selection process. The negative pheromone serves to influence the decision (much like a tabu search) to discourage the exploration of known bad paths. The positive pheromone serves to attract ants to known good paths (as in any conventional ACO.) Psuedocode for the new algorithm is...
This paper presents a novel Genetic Algorithms withParameter Exchanger and its application to systemidentification for a single-link flexible manipulator system. Asimulation environment characterizing the dynamic behaviorof the flexible manipulator system was first developed usingfinite difference method to acquire the input-output data of thesystem. In this study, system identification scheme is...
This paper presents a new approach to the design of combinational digital circuits with multiplexers using Evolutionary techniques. Genetic Algorithm (GA) is used as the optimization tool. Several circuits are synthesized with this method and compared with two design techniques such as standard implementation of logic functions using multiplexers and implementation using Shannon's decomposition technique...
This paper presents a preliminary study which describes and evaluates a multi-objective (MO) version of a recently created single objective (SO) optimization algorithm called the “Alliance Algorithm” (AA). The algorithm is based on the metaphorical idea that several tribes, with certain skills and resource needs, try to conquer an environment for their survival and to ally together to improve the...
Particle swarm optimization can be viewed as a system with two populations: a population of current positions and a population of personal best attractors. In genetic algorithms, crossover is applied after selection - the goal is to create a new offspring solution using components from the best available solutions. In a particle swarm, the best available solutions are in the population of personal...
Memetic Algorithm (MA) is a metaheuristic search method. In proposed memetic algorithm two memes are used in definite proportion out of total local calls and are applied with random selection. Genetic Algorithm due to its good exploration capability is used as main algorithm and Particle Swarm Optimization (PSO) as well as chemotaxis mechanism of Bacterial Foraging Optimization (BFO) are used as local...
Rate control is crucial in controlling compression bitrates for video encoding. However, most rate control algorithms are heuristic, meaning that they are suboptimal and susceptible to get stuck into local optima. In this paper, we conduct a trial research which applies genetic algorithms to video rate control. Experimental results show that the proposed genetic rate control algorithm works well and...
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