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Java implementation

  • Contract Net Protocol

    A Java-based implementation of the Contract Net Protocol enabling autonomous agents to dynamically negotiate and allocate tasks in multi-agent systems.
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    What is Contract Net Protocol?
    The Contract Net Protocol repository provides a full Java implementation of the FIPA Contract Net interaction protocol. Developers can create manager and contractor agents that exchange CFP (Call For Proposal), proposals, acceptances, and rejections over agent communication channels. The code includes core modules for broadcasting tasks, collecting bids, evaluating proposals based on customizable criteria, awarding contracts, and monitoring execution status. It can be integrated into larger multi-agent frameworks or used as a standalone library for research simulations, industrial scheduling, or robotic coordination.

  • GA-based NQueen Solver with 2APL Multi-Agent System

    An AI agent-based multi-agent system using 2APL and genetic algorithms to solve the N-Queen problem efficiently.
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    What is GA-based NQueen Solver with 2APL Multi-Agent System?
    The GA-based NQueen Solver uses a modular 2APL multi-agent architecture where each agent encodes a candidate N-Queen configuration. Agents evaluate their fitness by counting non-attacking queen pairs, then share high-fitness configurations with others. Genetic operators—selection, crossover, and mutation—are applied across the agent population to generate new candidate boards. Over successive iterations, agents collectively converge on valid N-Queen solutions. The framework is implemented in Java, supports parameter tuning for population size, crossover rate, mutation probability, and agent communication protocols, and outputs detailed logs and visualizations of the evolutionary process.

  • JADE-DR-VPP

    An agent-based simulation framework for demand response coordination in Virtual Power Plants using JADE.
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    What is JADE-DR-VPP?
    JADE-DR-VPP is an open-source Java framework that implements a multi-agent system for Virtual Power Plant (VPP) demand response (DR). Each agent represents a flexible load or generation unit that communicates via JADE messaging. The system orchestrates DR events, schedules load adjustments, and aggregates resources to meet grid signals. Users can configure agent behaviors, run large-scale simulations, and analyze performance metrics for energy management strategies.

  • E-Commerce Multi-Agent System on JADE

    A JADE-based multi-agent framework for e-commerce negotiation, order processing, dynamic pricing, and shipment coordination.
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    What is E-Commerce Multi-Agent System on JADE?
    The E-Commerce Multi-Agent System on JADE demonstrates how autonomous agents can manage online shopping workflows. Buyer agents search products and negotiate prices with seller agents. Seller agents handle inventory and pricing strategies. Logistics agents schedule shipments and update order status. The system showcases inter-agent communication via ACL, behavior extension, and container deployment on the JADE platform.
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