jambox fitness

Danish experts performed a group-controlled jogging study on 4658 men without a history of myocardial infarction. The results showed that there were significant differences in the risk of death between runners and non-Runners During the 8-year

Having a good sleep is related to impaired immunity. The body's resistance will decrease, and the disease rate will increase. But do I have to go to bed for 8 hours? This is not necessarily the case, as long as you wake up in the morning and feel

At present, many countries have seen jogging fever. Jogging has become a cure for obesity, autism, depression, and weakness. Jogging is the basis of ball games, gymnastics, athletics, swimming and other sports. It is also an important part of these

Training of chest and humerus: 1.Warm-up: jogging15Minutes. 2.Push-ups,30ItemsX4Group, no more than break in the middle1Minutes; 3.Upright feet and shoulders are the same width, and the barbell in both hands naturally hangs down in front of

Abdominal and leg training: 1.Squat:50ItemsX3Group; 2.Lie on the yoga mat, bend your legs, get up half by the strength of your abdomen, and touch your left and right ankle in turn,80Count a group, total3Group; 3.Lie on the yoga mat, bend

After three weeks of training, let's talk about the feeling of these two weeks:   The content of the training program for the second week was carefully designed by me. The training area is roughly the same as that for the first week, but the

Dumbbell push A. Key exercise areas: thoracic muscle, triangle muscle, and triceps. B. Start position: Lie on the bench and step on the ground. Two hands stretched up to hold the dumbbell. C. Action process: make the two straight arm open to both

Objective:God creates life, we build the line of the body.As a programmer, we should need a strong and sexy body. Needless to say, directly on the schedule, you can according to your personal situation, make your own plans.Schedule table:Fitness

Misunderstanding 1:Exercise as a warm-up Some yoga instructors use aerobics as a warm-up exercise before yoga. This is not desirable because after aerobics, the body is in a excited state and cannot enter the meditation State required by yoga.In

Let's start with a brief description of the problem. An engineering project that contains L l l projects, the work package (WP), which is represented by WPS, then:wps= W P s = wps = {wp1,wp2,..., wpl w P 1, W P 2, ..., W P l wp_1,wp_2,...,

# Include # Include # Include # Define popsize 50 # Define maxgens 1000 # Define nvars 3 # Define pxover 0.8 # Define pmutation 0.15 # Define true 1 # Define false 0 Int generation; Int cur_best; File * galog; Struct genotype{Double gene [nvars];Double fitness;Double upper [nvars];Double lower [nvars];Double rfitness;};Struct genotype population [popsize + 1];Struct genotype newpopulation [popsize + 1];Void initialize (void );Double randval (double,

The best exercise time per day has been revealed by many foreign scholars: the body's ability changes around the clock. Am-Am, am-17 am is the time when the chicken speed, strength, and endurance are relatively optimal. If you perform fitness and sports training during this time, it will receive better results. When-and-14 are in the relatively lowest state, if you are engaged in sports during this time, it is prone to fatigue and the "LOAD" is too la

, for example, for birds of prey experience is not high, the movement will be more value of peer sharing information , and for the predator-prey experience of the baby bird, the more important to their own experience . Therefore, our formula, in the "cognitive" and "social sharing" this part, is random.3.2 Formula ExpressionOur particle swarm algorithm is this:(1) Every baby bird is our solution , called "particle", and our worm is the optimal solution to our problem. That is to say, the bird hu

likely to participate in reproduction, and fewer offspring.heredity and mutation : The new individual inherits the genes from each part of the parent, and at the same time has a certain probability of genetic variation.Simply put: the reproductive process, the genetic crossover (Crossover), Gene mutation (Mutation), Fitness (Fitness) low-level individuals will be phased out, and more adaptable individuals

Research on university curriculum system based on genetic algorithmShenlijong Chen Minglei (Department of Computer Science and engineering, School of Information, Nanjing Forestry University, Nanjing 210037)SummaryThis paper proposes and realizes an automatic course scheduling algorithm, establishes the data model by using genetic algorithm, defines a chromosome coding scheme and fitness function including teacher number, class number, course number,

First, the application of genetic algorithmfunction optimization (Classical application field of genetic algorithm);Combinatorial optimization (the practice proves that the genetic algorithm is very effective for NP-complete problems in combinatorial optimization, such as 0-1 knapsack problem, TSP, etc.);Automatic controlRobot intelligent Control;Combined image processing and pattern recognition;Artificial life;Genetic programming;Ii. Basic concepts and terminology of geneticsGenotype (genotype)

, the optimal individual in the current population is saved as the optimal search result. Step 3. Select an operation. Based on the fitness of the individual in the population, the high fitness individual is selected from the current population by means of round-robin or expectation method. Step 4. Cross-operate. Use the probability threshold value Pc to control whether to use single-point crossover, multi-

Python programming implementation particle swarm algorithm (PSO) details, pythonpso 1 Principle The particle swarm algorithm is a kind of group intelligence, which is based on the research and simulation of the bird group's feeding behavior. Suppose there is food in only one place in the bird group for food, and all the birds cannot see the food (they do not know the specific location of the food ), however, you can smell the food (you can know where the food is located ). The best strategy is t

concepts that will often come up in the future: Maxima, maximums, local optimal solutions, global optimal solutions. People who have studied high school math know that the maximum value is incremented in a small neighborhood and the function value on the right is decremented, and the expression in Figure 2.1 is a "mountain". Of course, there are many "peaks" on the graph, so this function has a lot of great values. And for a function, the maximum value is the largest of all the maxima. So the M

) = Tasks (1, I)/nodes (1, j); End End percent of the data saves save (' data ', ' tasks ', ' nodes ', ' Timemat '); which The Initrandommat () function code is as follows: % [Name] -- Initrandommat (Initialize random matrix) % [function]-- % [input] --length (array lengths) % -- Range (the range of array elements ranges range (1) to Range (2)) % [Output] -- randommat function Randommat = Initrandommat (length, range) Randommat = zeros (1, length); For i = 1:length