In this paper we have developed a new technique to determine optimal solution to box pushing problem by two robots . Non-Dominated sorting genetic algorithm and Biogeography-based optimization algorithm are combined to obtain optimal solution. A modified algorithm is developed to obtain better energy and time optimization to the box pushing problem.

This work addresses the research and development (R&D) of an innovative optimization kernel applied to analog integrated circuit (IC) design. Particularly, this work focus is AIDA-CMK, by enhancing AIDA-C with a new multi-objective multi-constraint optimization kernel. AIDA-C is the circuit optimizer component of AIDA, an electronic design automation framework fully developed in-house. The prop...

The sailor assignment problem is a classic example of the generalized task assignment problem. In this instance, it is tried to assign the optimum tasks to the sailors in various time intervals according to their skills, experience and their location with different workloads. This problem has numerous applications in real world however due to many constraints and targets; the solution is not st...

The Combined Heat and Power Economic Emission Load Dispatch (CHPEED) is an optimization problem to minimize the cost and emission while ensuring the fulfilling the power and heat demand and feasible constraints. This paper presents Particle Swarm Optimization (PSO) technique and other to solve CHPEED with bounded feasible operating region. The main potential of this technique is that it proper ...

Although population-based algorithms are robust in solving Multi-objective Optimization Problems (MOP), they often require a large number of function evaluations. In contrast, individual-solution based algorithms are fast but can be stuck in local minima. To solve these problems, we introduce a fast and adaptive local search algorithm for MOP. Our algorithm is an individual-solution algorithm w...

Minimizing energy costs while maintaining consumer satisfaction is a very challenging task in smart home. The contradictory nature of these two objective functions (cost and level) requires multi-objective problem formulation that can offer several trade-off solutions to the consumer. Previous works have individually considered cost satisfaction, but there lack research considers both objective...

Bioenergy is attracting more attention worldwide due to its environmental and economic benefits. The design of a feasible biodiesel supply chain network can effectively improve the production use then further promote development industry. As an easy recyclable material with high yield, kitchen waste has good prospect solve public health safety problems. This paper takes producing as object opti...

Providing blood with high quality at the lowest cost and shortest time is main challenge of supply chain management. This paper presents a new model for designing dynamic three level incorporating issues. The proposed intends to locate facilities, determine best strategy allocation by minimizing both maximizing customer satisfaction based on delivery. In order deal consideration real world, int...

Grinding robots are widely used in the automotive, mechanical processing, aerospace industries, among others, due to their strong adaptability, high safety and intelligence. The grinding process parameters main factors that affect quality efficiency of robots. However, it is difficult obtain optimal combination only by manual experience. This study proposes an artificial intelligence-based meth...