in this paper the conditional location problem is discussed. conditional location problems have a wide range of applications in location science. a new meta-heuristic algorithm for solving conditional p-median problems is proposed and results are compared to those of the previous studies. this algorithm produces much better results than the previous formulations.

assigning facilities to locations is one of the important problems, which significantly is influence in transportation cost reduction. in this study, we solve quadratic assignment problem (qap), using a meta-heuristic algorithm with deterministic tasks and equality in facilities and location number. it should be noted that any facility must be assign to only one location. in this paper, first o...

The problem of finding good mappings is central to designing and executing applications efficiently in embedded systems. In heterogeneous multicores, which are ubiquitous today, this yields an intractably large design space possible mappings. Most methods explore using heuristics, many implicitly use geometric notions paper we the geometry mapping explicitly, for embeddings that capture its str...

In this chapter, we review a few important concepts from Grid computing related to scheduling problems and their resolution using heuristic and meta-heuristic approaches. Scheduling problems are at the heart of any Grid-like computational system. Different types of scheduling based on different criteria, such as static vs. dynamic environment, multi-objectivity, adaptivity, etc., are identified...

periodic vehicle routing problem focuses on establishing a plan of visits to clients over a given time horizon so as to satisfy some service level while optimizing the routes used in each time period. this paper presents a new effective heuristic algorithm based on data mining tools for periodic vehicle routing problem (pvrp). the related results of proposed algorithm are compared with the resu...

tower cranes are major and expensive equipment that are extensively used at building construction projects and harbors for lifting heavy objects to demand points. the tower crane locating problem to position a tower crane and supply points in a building construction site for supplying all requests in minimum time, has been raised from more than twenty years ago. this problem has already been so...

As a small energy system, microgrid plays an important role in utilizing distributed resources, improving traditional networks, and building intelligent integrated systems. However, management is always challenging optimization problem due to different factors. Meta-heuristics have been widely used solve complex problems many fields, including there lack of systematic summary the application me...

We present a state-of-the-art survey of parallel meta-heuristic strategies, developments, and results. We discuss general design and implementation principles that apply to most metaheuristic classes and instantiate these principles for neighborhood and population-based metaheuristics. We also identify a number of trends and promising research directions.

The growing complexity of real-world problems has motivated computer scientists to search for efficient problem-solving methods. Evolutionary computation and swarm intelligence meta-heuristics are outstanding examples that nature has been an unending source of inspiration. The behaviour of bees, bacteria, glow-worms, fireflies, slime moulds, cockroaches, mosquitoes and other organisms have insp...