SwarmIntel Agent

SwarmIntel is a distributed intelligence agent that leverages swarm algorithms and collective behavior patterns to solve complex optimization problems and coordinate multi-agent systems.

Key Features

  • Distributed decision making
  • Self-organizing agent networks
  • Adaptive swarm behavior
  • Real-time coordination

Technical Specifications

Architecture

Built on a distributed mesh network with peer-to-peer communication protocols and decentralized consensus mechanisms.

Algorithms

Implements advanced swarm intelligence algorithms including Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), and custom hybrid approaches.

Implementation

import { SwarmIntel } from '@molewhisperer/swarmintel';

// Initialize SwarmIntel
const swarm = new SwarmIntel({
  nodes: 100,
  topology: 'mesh',
  algorithm: 'hybrid-pso',
  optimization: {
    objective: 'minimize',
    constraints: {
      bounds: [-100, 100],
      dimensions: 3
    }
  }
});

// Define problem space
const problem = {
  fitness: (x) => Math.sin(x[0]) + 
    Math.cos(x[1]) + x[2],
  constraints: [
    (x) => x[0] + x[1] <= 50,
    (x) => x[1] + x[2] >= -20
  ]
};

// Run optimization
const solution = await swarm.optimize(
  problem, 
  {
    iterations: 1000,
    tolerance: 1e-6
  }
);

Advanced Features

Dynamic Topology

Automatically adjusts network topology based on problem complexity and communication patterns.

Adaptive Learning

Implements reinforcement learning to improve swarm behavior over time.