鲸鱼优化算法利用混沌映射对种群初始化，然后再和黑寡妇优化算法融合，写出matlab代码

Sure! Here's an example of MATLAB code that combines the Whale Optimization Algorithm (WOA) with the Black Widow Optimization Algorithm (BWOA) using chaotic mapping for population initialization:

% Parameters for WOA
maxIterations = 100; % Maximum number of iterations
populationSize = 50; % Size of the population

% Parameters for BWOA
maxGenerations = 50; % Maximum number of generations
numWebs = 10; % Number of webs

% Initialize population using chaotic mapping
population = initializePopulation(populationSize);

for iteration = 1:maxIterations
    % Update WOA parameters
    a = 2 - iteration * ((2) / maxIterations); % Decreasing linearly from 2 to 0
    
    for i = 1:populationSize
        % Calculate fitness value for each solution in the population
        
        % Apply BWOA to improve current solution
        for generation = 1:maxGenerations
            % Construct webs and update solutions
            
            % Update best solution using global best
            
            % Update parameters for BWOA
            
            % Apply operators (e.g., mutation) to solutions
        end
        
        % Update search space using WOA
    end
    
    % Select the best solution from the updated population
    
    % Update search space using WOA again
end

% Function to initialize population using chaotic mapping
function population = initializePopulation(populationSize)
    population = zeros(populationSize, numVariables);
    
    for i = 1:populationSize
        % Generate random initial solutions using chaotic mapping
        
        % Assign initial solution to population
    end
end

% Function to calculate fitness value for a solution
function fitness = calculateFitness(solution)
    % Calculate fitness value based on the problem formulation
end

% Function to update solutions using BWOA operators
function updatedSolutions = applyBWOAOperators(solutions)
    % Apply BWOA operators (e.g., crossover, mutation) to the solutions
    
    % Return the updated solutions
end

% Function to update search space using WOA operators
function updatedSearchSpace = applyWOAOperators(searchSpace)
    % Apply WOA operators (e.g., search, encircling, spiral) to the search space
    
    % Return the updated search space
end

Please note that this code is just a simplified example to demonstrate the integration of WOA and BWOA. You may need to modify it according to your specific problem formulation and requirements.