Image Generation

Create a high-resolution academic workflow diagram illustrating the working flow of the Multi-Strategy Artificial Protozoa (MSAP) optimization algorithm. The figure follows a modular block-based structure with parallel strategy execution, adaptive control, and iterative convergence, designed for inclusion in the Methods section of a scientific journal. Block 1: Population Initialization A rounded rectangle labeled: Initial Protozoa Population Generation Include: Random solution initialization Search space boundary definition Parameter encoding Block 2: Fitness Evaluation Connect to a block labeled: Fitness Function Evaluation Indicate: Objective function computation Constraint satisfaction assessment Block 3: Multi-Strategy Behavior Controller A large central block labeled: Multi-Strategy Artificial Protozoa Controller Inside the block, divide into four parallel sub-blocks: Dormancy Strategy Local exploitation Solution refinement Foraging Strategy Directional search Fitness-guided movement Reproduction Strategy Solution duplication Elite preservation Mutation Strategy Random perturbation Exploration enhancement Block 4: Adaptive Strategy Selection A block labeled: Adaptive Strategy Selection Mechanism Include: Dynamic probability update Fitness-based strategy weighting Diversity preservation control Block 5: Solution Update A block labeled: Protozoa Position and Parameter Update Indicate: Strategy-specific update rules Boundary correction Block 6: Convergence Monitoring A decision diamond labeled: Termination Criteria Satisfied? Conditions: Maximum iterations reached Fitness convergence threshold achieved Block 7: Iterative Loop If No: loop back to Fitness Evaluation If Yes: proceed to output Block 8: Optimized Output Final block labeled: Optimized Parameter Set (Globally optimized solution for model tuning) Design and Styling Requirements Flat vector academic style Rounded rectangles and decision diamonds Clear arrows indicating parallel and sequential flow White background Professional sans-serif font Muted but distinct academic color palette No gradients, shadows, or decorative effects The figure must clearly convey parallel optimization strategies, adaptive control, and iterative convergence behavior, conforming to Elsevier, IEEE, and Springer figure standards.